A Novel Method for Feature Extraction using Color Layout Descriptor (CLD) and Edge histogram Descriptor (EHD)
Pradnya Vikhar1, Kantilal Rane2, Bupendra Chaudhari3

1Pradnya Vikhar*, Assistant Professor, KCES’s COEIT, Jalgaon.
2Kantilal P Rane, Professor, KCES’s COEIT, Jalgaon.
3Bupendra Chaudharu, Senior Lecturer, Government Polytechnic, Jalgaon.
Manuscript received on January 10, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on February 10, 2020. | PP: 2147-2150 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1379029420/2020©BEIESP | DOI: 10.35940/ijitee.D1379.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Now days, Image processing finds diversified applications in almost all field of life. The success of any image processing application is depends on proper feature extraction technique. To extract good and proper features is very interesting and challenging task in the development process. It is used to describe the image based on its contents. These extracted features are used to compare, analyse and/or search the analogous images. There are various feature extraction techniques are found in the literature to design various applications. However any image processing application generates images with high dimensionality, which will be results in the low efficiency of an application. This paper provides an approach to extract features from the images using MPEG-7 feature extraction techniques. The approach discussed in the paper uses two popular MPEG-7 visual content descriptors; they are namely Edge Histogram Descriptor (EHD) and Color Layout Descriptor (CLD). The concept results in reduction of dimensions of an image to improve the efficiency of the application. It can be used as a heart to design any image processing application as well as provides strong foundation to develop variety of applications. 
Keywords: Image Processing, Feature Extraction, Low level Features, Semantic Features, MPEG-7, Dimension Reduction, CLD, EHD.
Scope of the Article: Signal and Image Processingg