Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2005

AUTHORS

Lidia Sánchez , Nicolai Petkov , Enrique Alegre

ABSTRACT

We propose a novel classification method to identify boar spermatozoid heads which present an intracellular intensity distribution similar to a model. From semen sample images, head images are isolated and normalized. We define a model intensity distribution averaging a set of head images assumed as normal by veterinary experts. Two training sets are also formed: one with images that are similar to the model and another with non-normal head images according to experts. Deviations from the model are computed for each set, obtaining low values for normal heads and higher values for assumed as non-normal heads. There is also an overlapped area. The decision criterion is determined to minimize the sum of the obtained false rejected and false acceptance errors. Experiments with a test set of normal and non-normal head images give a global error of 20.40%. The false rejection and the false acceptance rates are 13.68% and 6.72% respectively. More... »

PAGES

154-160

Book

TITLE

Progress in Pattern Recognition, Image Analysis and Applications

ISBN

978-3-540-29850-2
978-3-540-32242-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11578079_17

DOI

http://dx.doi.org/10.1007/11578079_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039853890


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Department of Electrical and Electronics Engineering, University of Le\u00f3n, Campus de Vegazana s/n, 24071\u00a0Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "S\u00e1nchez", 
        "givenName": "Lidia", 
        "id": "sg:person.0645731325.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645731325.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Groningen", 
          "id": "https://www.grid.ac/institutes/grid.4830.f", 
          "name": [
            "Institute of Mathematics and Computing Science, University of Groningen, P.O. Box 800, 9700 AV\u00a0Groningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Petkov", 
        "givenName": "Nicolai", 
        "id": "sg:person.01324070305.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324070305.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Leon", 
          "id": "https://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "Department of Electrical and Electronics Engineering, University of Le\u00f3n, Campus de Vegazana s/n, 24071\u00a0Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alegre", 
        "givenName": "Enrique", 
        "id": "sg:person.016266057305.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016266057305.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.theriogenology.2004.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014581963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2605.1999.00148.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016966057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2605.1999.00148.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016966057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1939-4640.2001.tb02159.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018030359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0093-691x(01)00664-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018672214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.anireprosci.2004.04.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023759416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2605.2002.00324.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045099583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1939-4640.2001.tb02580.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045972008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0015-0282(16)57616-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048435093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1939-4640.2001.tb02218.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049569173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/nnsp.1994.366015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093837089"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005", 
    "datePublishedReg": "2005-01-01", 
    "description": "We propose a novel classification method to identify boar spermatozoid heads which present an intracellular intensity distribution similar to a model. From semen sample images, head images are isolated and normalized. We define a model intensity distribution averaging a set of head images assumed as normal by veterinary experts. Two training sets are also formed: one with images that are similar to the model and another with non-normal head images according to experts. Deviations from the model are computed for each set, obtaining low values for normal heads and higher values for assumed as non-normal heads. There is also an overlapped area. The decision criterion is determined to minimize the sum of the obtained false rejected and false acceptance errors. Experiments with a test set of normal and non-normal head images give a global error of 20.40%. The false rejection and the false acceptance rates are 13.68% and 6.72% respectively.", 
    "editor": [
      {
        "familyName": "Sanfeliu", 
        "givenName": "Alberto", 
        "type": "Person"
      }, 
      {
        "familyName": "Cort\u00e9s", 
        "givenName": "Manuel Lazo", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/11578079_17", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-29850-2", 
        "978-3-540-32242-9"
      ], 
      "name": "Progress in Pattern Recognition, Image Analysis and Applications", 
      "type": "Book"
    }, 
    "name": "Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution", 
    "pagination": "154-160", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/11578079_17"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bdd88492f0b76e6a71cdee70694beafef9ea15e532bc274916d59f4a58471cbb"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039853890"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/11578079_17", 
      "https://app.dimensions.ai/details/publication/pub.1039853890"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T22:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000268.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/11578079_17"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/11578079_17'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/11578079_17'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/11578079_17'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/11578079_17'


 

This table displays all metadata directly associated to this object as RDF triples.

117 TRIPLES      23 PREDICATES      37 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/11578079_17 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author Nc9c5f74e53ce4ff793dc20f8ad849e59
4 schema:citation https://doi.org/10.1002/j.1939-4640.2001.tb02159.x
5 https://doi.org/10.1002/j.1939-4640.2001.tb02218.x
6 https://doi.org/10.1002/j.1939-4640.2001.tb02580.x
7 https://doi.org/10.1016/j.anireprosci.2004.04.019
8 https://doi.org/10.1016/j.theriogenology.2004.01.005
9 https://doi.org/10.1016/s0015-0282(16)57616-x
10 https://doi.org/10.1016/s0093-691x(01)00664-1
11 https://doi.org/10.1046/j.1365-2605.1999.00148.x
12 https://doi.org/10.1046/j.1365-2605.2002.00324.x
13 https://doi.org/10.1109/nnsp.1994.366015
14 schema:datePublished 2005
15 schema:datePublishedReg 2005-01-01
16 schema:description We propose a novel classification method to identify boar spermatozoid heads which present an intracellular intensity distribution similar to a model. From semen sample images, head images are isolated and normalized. We define a model intensity distribution averaging a set of head images assumed as normal by veterinary experts. Two training sets are also formed: one with images that are similar to the model and another with non-normal head images according to experts. Deviations from the model are computed for each set, obtaining low values for normal heads and higher values for assumed as non-normal heads. There is also an overlapped area. The decision criterion is determined to minimize the sum of the obtained false rejected and false acceptance errors. Experiments with a test set of normal and non-normal head images give a global error of 20.40%. The false rejection and the false acceptance rates are 13.68% and 6.72% respectively.
17 schema:editor Nbb4fd9a7a13d443fa7400a38957d55ab
18 schema:genre chapter
19 schema:inLanguage en
20 schema:isAccessibleForFree true
21 schema:isPartOf Nf49779269dbe4702b52eaf10468d80ae
22 schema:name Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution
23 schema:pagination 154-160
24 schema:productId Na359b2ab383e43c08b1c91dc5040964f
25 Nacf8571df0e0480c81f7f096d8552eff
26 Ne4dcd4a0c06e4e4dac52571ff8fc2755
27 schema:publisher N2e53ebaf9e7d4c968dbb352b613158ef
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039853890
29 https://doi.org/10.1007/11578079_17
30 schema:sdDatePublished 2019-04-15T22:57
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher N4131aabb5d714ec78709f564782a0f2a
33 schema:url http://link.springer.com/10.1007/11578079_17
34 sgo:license sg:explorer/license/
35 sgo:sdDataset chapters
36 rdf:type schema:Chapter
37 N02328a1f4ced46a78645bfb16764a230 rdf:first sg:person.01324070305.97
38 rdf:rest Na82fe95e8ae6424589d4dd3d07ca83e3
39 N0bbd5236f9b44cb9bbd161e6ca328813 rdf:first N5aa152054cc040df87679032ddf66822
40 rdf:rest rdf:nil
41 N2e53ebaf9e7d4c968dbb352b613158ef schema:location Berlin, Heidelberg
42 schema:name Springer Berlin Heidelberg
43 rdf:type schema:Organisation
44 N4131aabb5d714ec78709f564782a0f2a schema:name Springer Nature - SN SciGraph project
45 rdf:type schema:Organization
46 N5aa152054cc040df87679032ddf66822 schema:familyName Cortés
47 schema:givenName Manuel Lazo
48 rdf:type schema:Person
49 Na359b2ab383e43c08b1c91dc5040964f schema:name doi
50 schema:value 10.1007/11578079_17
51 rdf:type schema:PropertyValue
52 Na82fe95e8ae6424589d4dd3d07ca83e3 rdf:first sg:person.016266057305.75
53 rdf:rest rdf:nil
54 Nacf8571df0e0480c81f7f096d8552eff schema:name readcube_id
55 schema:value bdd88492f0b76e6a71cdee70694beafef9ea15e532bc274916d59f4a58471cbb
56 rdf:type schema:PropertyValue
57 Nbb4fd9a7a13d443fa7400a38957d55ab rdf:first Nf1d0fea956344b178c8d8a8d5d0ad52b
58 rdf:rest N0bbd5236f9b44cb9bbd161e6ca328813
59 Nc9c5f74e53ce4ff793dc20f8ad849e59 rdf:first sg:person.0645731325.04
60 rdf:rest N02328a1f4ced46a78645bfb16764a230
61 Ne4dcd4a0c06e4e4dac52571ff8fc2755 schema:name dimensions_id
62 schema:value pub.1039853890
63 rdf:type schema:PropertyValue
64 Nf1d0fea956344b178c8d8a8d5d0ad52b schema:familyName Sanfeliu
65 schema:givenName Alberto
66 rdf:type schema:Person
67 Nf49779269dbe4702b52eaf10468d80ae schema:isbn 978-3-540-29850-2
68 978-3-540-32242-9
69 schema:name Progress in Pattern Recognition, Image Analysis and Applications
70 rdf:type schema:Book
71 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
72 schema:name Psychology and Cognitive Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
75 schema:name Psychology
76 rdf:type schema:DefinedTerm
77 sg:person.01324070305.97 schema:affiliation https://www.grid.ac/institutes/grid.4830.f
78 schema:familyName Petkov
79 schema:givenName Nicolai
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324070305.97
81 rdf:type schema:Person
82 sg:person.016266057305.75 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
83 schema:familyName Alegre
84 schema:givenName Enrique
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016266057305.75
86 rdf:type schema:Person
87 sg:person.0645731325.04 schema:affiliation https://www.grid.ac/institutes/grid.4807.b
88 schema:familyName Sánchez
89 schema:givenName Lidia
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645731325.04
91 rdf:type schema:Person
92 https://doi.org/10.1002/j.1939-4640.2001.tb02159.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018030359
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1002/j.1939-4640.2001.tb02218.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049569173
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1002/j.1939-4640.2001.tb02580.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045972008
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.anireprosci.2004.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023759416
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/j.theriogenology.2004.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014581963
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/s0015-0282(16)57616-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048435093
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/s0093-691x(01)00664-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018672214
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1046/j.1365-2605.1999.00148.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016966057
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1046/j.1365-2605.2002.00324.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045099583
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1109/nnsp.1994.366015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093837089
111 rdf:type schema:CreativeWork
112 https://www.grid.ac/institutes/grid.4807.b schema:alternateName University of Leon
113 schema:name Department of Electrical and Electronics Engineering, University of León, Campus de Vegazana s/n, 24071 León, Spain
114 rdf:type schema:Organization
115 https://www.grid.ac/institutes/grid.4830.f schema:alternateName University of Groningen
116 schema:name Institute of Mathematics and Computing Science, University of Groningen, P.O. Box 800, 9700 AV Groningen, The Netherlands
117 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...