Multiscale distance coherence vector algorithm for content-based image retrieval.
Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaus...
| Publicado en: | Scientific World Journal pp. 615973 - 615974 |
|---|---|
| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103826079&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103826079 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103826079 103826079 NLM24883416 2012601915 10.1155/2014/615973 NLM24883416 PMC4032654 103826079 ppf: 615973 ppct: 1 formats: tig: atl: Multiscale distance coherence vector algorithm for content-based image retrieval. aug: au: Jiexian, Zeng Xiupeng, Liu Yu, Fei affil: School of Software, Nanchang Hangkong University, Nanchang 330063, China. sug: subj: Algorithms Image Interpretation, Computer Assisted Information Retrieval Methods Models, Theoretical Software ab: Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaussian function first, and then the distance coherence vector is, respectively, extracted from the contour of the original image and evolved images. Multiscale distance coherence vector was obtained by reasonable weight distribution of the distance coherence vectors of evolved images contour. This algorithm not only is invariable to translation, rotation, and scaling transformation but also has good performance of antinoise. The experiment results show us that the algorithm has a higher recall rate and precision rate for the retrieval of images polluted by noise. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|