Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Víctor González-Castro , Enrique Alegre , Oscar García-Olalla , Diego García-Ordás , María Teresa García-Ordás , Laura Fernández-Robles

ABSTRACT

The assessment of boar sperm head images according to their acrosome status is a very important task in the veterinary field. Unfortunately it can only be performed manually, which is slow, non-objective and expensive. It is important to provide companies an automatic and reliable method to perform this task. In this paper a new method which uses texture descriptors based on the Curvelet Transform is proposed. Its performance has been compared with other texture descriptors based on the Wavelet transform, and also with moments based descriptors, as they seem to be successful for this problem. Texture descriptors performed better, and curvelet-based ones achieved the best hit rate (97%) and area under the ROC curve (0.99). More... »

PAGES

448-455

Book

TITLE

Image Analysis and Recognition

ISBN

978-3-642-31297-7
978-3-642-31298-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-31298-4_53

DOI

http://dx.doi.org/10.1007/978-3-642-31298-4_53

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048323198


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Le\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "University of Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gonz\u00e1lez-Castro", 
        "givenName": "V\u00edctor", 
        "id": "sg:person.010551001361.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010551001361.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Le\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "University of Le\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"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Le\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "University of Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-Olalla", 
        "givenName": "Oscar", 
        "id": "sg:person.015450152607.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015450152607.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Le\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "University of Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-Ord\u00e1s", 
        "givenName": "Diego", 
        "id": "sg:person.013451236372.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013451236372.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Le\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "University of Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-Ord\u00e1s", 
        "givenName": "Mar\u00eda Teresa", 
        "id": "sg:person.014015622120.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014015622120.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Le\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.4807.b", 
          "name": [
            "University of Le\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fern\u00e1ndez-Robles", 
        "givenName": "Laura", 
        "id": "sg:person.010415303037.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010415303037.45"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2012", 
    "datePublishedReg": "2012-01-01", 
    "description": "The assessment of boar sperm head images according to their acrosome status is a very important task in the veterinary field. Unfortunately it can only be performed manually, which is slow, non-objective and expensive. It is important to provide companies an automatic and reliable method to perform this task. In this paper a new method which uses texture descriptors based on the Curvelet Transform is proposed. Its performance has been compared with other texture descriptors based on the Wavelet transform, and also with moments based descriptors, as they seem to be successful for this problem. Texture descriptors performed better, and curvelet-based ones achieved the best hit rate (97%) and area under the ROC curve (0.99).", 
    "editor": [
      {
        "familyName": "Campilho", 
        "givenName": "Aur\u00e9lio", 
        "type": "Person"
      }, 
      {
        "familyName": "Kamel", 
        "givenName": "Mohamed", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-31298-4_53", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-31297-7", 
        "978-3-642-31298-4"
      ], 
      "name": "Image Analysis and Recognition", 
      "type": "Book"
    }, 
    "keywords": [
      "texture descriptors", 
      "wavelet transform", 
      "texture description", 
      "curvelet transform", 
      "transform", 
      "new method", 
      "important task", 
      "method", 
      "performance", 
      "curvelet", 
      "field", 
      "reliable method", 
      "head images", 
      "curves", 
      "images", 
      "moment", 
      "problem", 
      "rate", 
      "area", 
      "description", 
      "one", 
      "task", 
      "descriptors", 
      "assessment", 
      "companies", 
      "veterinary field", 
      "Intact", 
      "status", 
      "ROC curve", 
      "paper", 
      "acrosome status", 
      "boar spermatozoa", 
      "spermatozoa", 
      "boar sperm head images", 
      "sperm head images", 
      "curvelet-based ones"
    ], 
    "name": "Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa", 
    "pagination": "448-455", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048323198"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-31298-4_53"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-31298-4_53", 
      "https://app.dimensions.ai/details/publication/pub.1048323198"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-12-01T20:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/chapter/chapter_454.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-31298-4_53"
  }
]
 

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.10.1007/978-3-642-31298-4_53'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31298-4_53'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31298-4_53'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31298-4_53'


 

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

136 TRIPLES      23 PREDICATES      62 URIs      55 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-31298-4_53 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nfbd74424c67b4b2ea08fc1629c1a348f
4 schema:datePublished 2012
5 schema:datePublishedReg 2012-01-01
6 schema:description The assessment of boar sperm head images according to their acrosome status is a very important task in the veterinary field. Unfortunately it can only be performed manually, which is slow, non-objective and expensive. It is important to provide companies an automatic and reliable method to perform this task. In this paper a new method which uses texture descriptors based on the Curvelet Transform is proposed. Its performance has been compared with other texture descriptors based on the Wavelet transform, and also with moments based descriptors, as they seem to be successful for this problem. Texture descriptors performed better, and curvelet-based ones achieved the best hit rate (97%) and area under the ROC curve (0.99).
7 schema:editor N48beab4daceb4724acf51e7c4b8050bf
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nf9b095c945f84b0ca189fb192ef40531
12 schema:keywords Intact
13 ROC curve
14 acrosome status
15 area
16 assessment
17 boar sperm head images
18 boar spermatozoa
19 companies
20 curvelet
21 curvelet transform
22 curvelet-based ones
23 curves
24 description
25 descriptors
26 field
27 head images
28 images
29 important task
30 method
31 moment
32 new method
33 one
34 paper
35 performance
36 problem
37 rate
38 reliable method
39 sperm head images
40 spermatozoa
41 status
42 task
43 texture description
44 texture descriptors
45 transform
46 veterinary field
47 wavelet transform
48 schema:name Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa
49 schema:pagination 448-455
50 schema:productId N009fbedf69124e628de3b59585882dd0
51 N681041409a52416981162d649dcac712
52 schema:publisher N4cd4d73518b045c8a49e2cf485a12e6d
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048323198
54 https://doi.org/10.1007/978-3-642-31298-4_53
55 schema:sdDatePublished 2021-12-01T20:11
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N17c56b82d2d6489fa7c929d954d5ecc3
58 schema:url https://doi.org/10.1007/978-3-642-31298-4_53
59 sgo:license sg:explorer/license/
60 sgo:sdDataset chapters
61 rdf:type schema:Chapter
62 N009fbedf69124e628de3b59585882dd0 schema:name dimensions_id
63 schema:value pub.1048323198
64 rdf:type schema:PropertyValue
65 N17a046bf81b54400bb3d9e35c86f2699 schema:familyName Kamel
66 schema:givenName Mohamed
67 rdf:type schema:Person
68 N17c56b82d2d6489fa7c929d954d5ecc3 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N436d9205c9cd4cc79e3d44395ef1a04a rdf:first sg:person.016266057305.75
71 rdf:rest Nf44293b3a3a741ce8d17abce90b61102
72 N4638b4e977fc41d79593a21ab316a955 rdf:first N17a046bf81b54400bb3d9e35c86f2699
73 rdf:rest rdf:nil
74 N48beab4daceb4724acf51e7c4b8050bf rdf:first N776096007c3a44b5b853d0d4b04f991e
75 rdf:rest N4638b4e977fc41d79593a21ab316a955
76 N4cd4d73518b045c8a49e2cf485a12e6d schema:name Springer Nature
77 rdf:type schema:Organisation
78 N681041409a52416981162d649dcac712 schema:name doi
79 schema:value 10.1007/978-3-642-31298-4_53
80 rdf:type schema:PropertyValue
81 N70b8449a1c29454890b1188802008312 rdf:first sg:person.014015622120.33
82 rdf:rest Nf9a8c240bc664262afbb2a9945b92868
83 N776096007c3a44b5b853d0d4b04f991e schema:familyName Campilho
84 schema:givenName Aurélio
85 rdf:type schema:Person
86 Nca736bd0eeac433d87fcf65ba6e60acb rdf:first sg:person.013451236372.63
87 rdf:rest N70b8449a1c29454890b1188802008312
88 Nf44293b3a3a741ce8d17abce90b61102 rdf:first sg:person.015450152607.60
89 rdf:rest Nca736bd0eeac433d87fcf65ba6e60acb
90 Nf9a8c240bc664262afbb2a9945b92868 rdf:first sg:person.010415303037.45
91 rdf:rest rdf:nil
92 Nf9b095c945f84b0ca189fb192ef40531 schema:isbn 978-3-642-31297-7
93 978-3-642-31298-4
94 schema:name Image Analysis and Recognition
95 rdf:type schema:Book
96 Nfbd74424c67b4b2ea08fc1629c1a348f rdf:first sg:person.010551001361.75
97 rdf:rest N436d9205c9cd4cc79e3d44395ef1a04a
98 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
99 schema:name Information and Computing Sciences
100 rdf:type schema:DefinedTerm
101 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
102 schema:name Artificial Intelligence and Image Processing
103 rdf:type schema:DefinedTerm
104 sg:person.010415303037.45 schema:affiliation grid-institutes:grid.4807.b
105 schema:familyName Fernández-Robles
106 schema:givenName Laura
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010415303037.45
108 rdf:type schema:Person
109 sg:person.010551001361.75 schema:affiliation grid-institutes:grid.4807.b
110 schema:familyName González-Castro
111 schema:givenName Víctor
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010551001361.75
113 rdf:type schema:Person
114 sg:person.013451236372.63 schema:affiliation grid-institutes:grid.4807.b
115 schema:familyName García-Ordás
116 schema:givenName Diego
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013451236372.63
118 rdf:type schema:Person
119 sg:person.014015622120.33 schema:affiliation grid-institutes:grid.4807.b
120 schema:familyName García-Ordás
121 schema:givenName María Teresa
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014015622120.33
123 rdf:type schema:Person
124 sg:person.015450152607.60 schema:affiliation grid-institutes:grid.4807.b
125 schema:familyName García-Olalla
126 schema:givenName Oscar
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015450152607.60
128 rdf:type schema:Person
129 sg:person.016266057305.75 schema:affiliation grid-institutes:grid.4807.b
130 schema:familyName Alegre
131 schema:givenName Enrique
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016266057305.75
133 rdf:type schema:Person
134 grid-institutes:grid.4807.b schema:alternateName University of León, Spain
135 schema:name University of León, Spain
136 rdf:type schema:Organization
 




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


...