Feature Extraction Using Dominant Local Texture-Color Patterns (DLTCP) and Classification of Color Images.
Feature extraction and classification are considered to be the major tasks in image processing applications. This paper proposes a novel method to extract the features of a color image for classification. The proposed method, Dominant Local Texture-Color Patterns (DLTCP) is based on the Dominant Tex...
| Publicado en: | Journal of Medical Systems Vol. 42; no. 11; pp. 1 - 2 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2018
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| 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=132813842&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132813842 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Nov2018 vid: 42 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 132813842 132813842 132813842 10.1007/s10916-018-1067-6 132813842 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Feature Extraction Using Dominant Local Texture-Color Patterns (DLTCP) and Classification of Color Images. aug: au: Kavitha, J. C. Suruliandi, A. affil: Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli, India sug: subj: Image Processing, Computer Assisted Color Perception Algorithms Diagnosis, Computer Assisted ab: Feature extraction and classification are considered to be the major tasks in image processing applications. This paper proposes a novel method to extract the features of a color image for classification. The proposed method, Dominant Local Texture-Color Patterns (DLTCP) is based on the Dominant Texture and Dominant Color channels in a RGB color space. The dominant texture pattern represents a channel among RGB with maximum variations in the texture and the dominant color pattern represents the color channel with the maximum pixel intensity. The combination of channels with dominant texture pattern and dominant color pattern is assigned a unique value which is used to extract the features of an image. The proposed texture-color features is tested for rotational, illumination and scale invariance property using the color images taken from Outex and Vistex databases. It is experimentally shown that the proposed method achieves the highest accuracy in classification using K-Nearest Neighbor (KNN) classifier under various challenges. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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