Ontology type: schema:Chapter
2017
AUTHORS ABSTRACTConsidering the difficulty of fruit and vegetable images with uneven illumination and uncontrolled backgrounds, this paper proposed an image preprocess algorithm based on visual subject detection. Firstly, we can use manifold ranking to significance test and to acquire significance images, then use gradient images and position weighting to get cutting images, finally adjust the image brightness and remove image noise to complete the image preprocessing. The experiment results demonstrated the robustness and real-time of the proposed algorithm which can segment images accurately and the accuracy is higher than 91%. More... »
PAGES708-717
Data Science
ISBN
978-981-10-6384-8
978-981-10-6385-5
http://scigraph.springernature.com/pub.10.1007/978-981-10-6385-5_59
DOIhttp://dx.doi.org/10.1007/978-981-10-6385-5_59
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1091806428
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/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"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"
}
],
"author": [
{
"affiliation": {
"alternateName": "Nanjing Xiaozhuang University",
"id": "https://www.grid.ac/institutes/grid.440845.9",
"name": [
"Nanjing Xiaozhuang University"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Yanqing",
"id": "sg:person.014527244613.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014527244613.52"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing Xiaozhuang University",
"id": "https://www.grid.ac/institutes/grid.440845.9",
"name": [
"Nanjing Xiaozhuang University"
],
"type": "Organization"
},
"familyName": "Zheng",
"givenName": "Hao",
"id": "sg:person.07575706553.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07575706553.15"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.4028/www.scientific.net/amr.1046.425",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023409941"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3923/itj.2010.481.487",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029708993"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-981-10-2053-7_52",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047518163",
"https://doi.org/10.1007/978-981-10-2053-7_52"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2013.407",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093248751"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cvpr.2013.407",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093248751"
],
"type": "CreativeWork"
}
],
"datePublished": "2017",
"datePublishedReg": "2017-01-01",
"description": "Considering the difficulty of fruit and vegetable images with uneven illumination and uncontrolled backgrounds, this paper proposed an image preprocess algorithm based on visual subject detection. Firstly, we can use manifold ranking to significance test and to acquire significance images, then use gradient images and position weighting to get cutting images, finally adjust the image brightness and remove image noise to complete the image preprocessing. The experiment results demonstrated the robustness and real-time of the proposed algorithm which can segment images accurately and the accuracy is higher than 91%.",
"editor": [
{
"familyName": "Zou",
"givenName": "Beiji",
"type": "Person"
},
{
"familyName": "Li",
"givenName": "Min",
"type": "Person"
},
{
"familyName": "Wang",
"givenName": "Hongzhi",
"type": "Person"
},
{
"familyName": "Song",
"givenName": "Xianhua",
"type": "Person"
},
{
"familyName": "Xie",
"givenName": "Wei",
"type": "Person"
},
{
"familyName": "Lu",
"givenName": "Zeguang",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-981-10-6385-5_59",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-981-10-6384-8",
"978-981-10-6385-5"
],
"name": "Data Science",
"type": "Book"
},
"name": "Research on Target Extraction Technology of Fruit and Vegetable Images in the Complex Environment",
"pagination": "708-717",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-981-10-6385-5_59"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"33ca79342ab5527e1a36cb867211d23a942d84a2a685dc9e550eaa51032dbcf9"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1091806428"
]
}
],
"publisher": {
"location": "Singapore",
"name": "Springer Singapore",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-981-10-6385-5_59",
"https://app.dimensions.ai/details/publication/pub.1091806428"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T18:06",
"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_8681_00000224.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-981-10-6385-5_59"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/978-981-10-6385-5_59'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-6385-5_59'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-6385-5_59'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-6385-5_59'
This table displays all metadata directly associated to this object as RDF triples.
110 TRIPLES
23 PREDICATES
31 URIs
20 LITERALS
8 BLANK NODES