Content Based Image Retrieval is an interesting and most emerging field in the area of ‘Image Search’, finding similar images for the given query image from the image database. Current approaches include the use of color, texture and shape information. Considering these features in individual, most of the retrievals are poor in results and sometimes we are getting some non relevant images for the given query image. So, this dissertation proposes a method in which combination of color and texture features of the image is used to improve the retrieval results in terms of its accuracy. For color, color histogram based color correlogram technique and for texture wavelet decomposition technique is used. Color and texture based image
KHUTWAD, HARSHADA ANAND and VAIDYA, RAVINDRA JINADATTA
"CONTENT BASED IMAGE RETRIEVAL,"
International Journal of Image Processing and Vision Science: Vol. 1
, Article 16.
Available at: https://www.interscience.in/ijipvs/vol1/iss4/16