International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013

Image Similarity Measure using Color Histogram, Color Coherence Vector, and Sobel Method

Kalyan Roy, Joydeep Mukherjee

Image Retrieval means searching, browsing, and retrieving the images from an image database. Two different methods are used for image retrieval, namely text based image retrieval and content based image retrieval techniques. But now Text based search technique is old one. In Content Based Image Retrieval many visual feature like color, shape, and texture are extracted, next when we query an image its feature are compared with the stored feature and we get most similar kind of image. In our proposed method we firstly extract low level image feature like- color histogram, color coherence vector. Then we add edge detection technique sobel edge detection method to get better output. Finally we use Manhattan distance to find the similar images from our database.

Keywords: Histogram, Color Coherence Vector, Sobel Edge detection method, Manhattan distance

Edition: Volume 2 Issue 1, January 2013

Pages: 538 - 543


How to Cite this Article?

Kalyan Roy, Joydeep Mukherjee, "Image Similarity Measure using Color Histogram, Color Coherence Vector, and Sobel Method", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSRON2013311, Volume 2 Issue 1, January 2013, 538 - 543

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