Content Based Image Retrieval Using Region Based Shape Descriptor and SVM Algorithm
نویسندگان
چکیده
Content Based Image Retrieval (CBIR) system using Region based shape descriptors is proposed in my work. Further, the image classification efficiency is improved by employing Support Vector Machine (SVM) classifier. In this paper we concentrate on region based shape descriptors. In Region based shape descriptors include Hu moments, Zernike Moments, and exact Legendre Moment. In CBIR system the region based shape descriptors, viz., MI, ZM and ELM in terms of retrieval efficiency and retrieval time are observed. In Exact Legendre Moments (ELM) for gray scale images is proposed in this work. The CBIR system is tested by conducting experiments on Corel shape database,. It consists of 20 classes of images with each class consisting of 72 different orientations resulting in a total of 1440 images. All these gray scale images in the database are of the size 128×128. All images of all the 20 classes are used for experimentation.
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