• Rohit Thange
• Siddharth Gaud
• Akash Pal
• Vivek Bugalia
• Prof. Nitin Ahire

Content Based Image Retrieval (CBIR) is the most important and effective image retrieval method and widely studied in both academia and industry arena. In this paper we propose an image retrieval system, called Wavelet-Based Color Histogram Image Retrieval (WBCHIR) based on the combination of color and texture features. This reduces the processing time for retrieval of an image with more promising representatives. CBIR aims at searching image databases for specific images that are similar to a given query image. User always wants a friendly environment so that they can easily and effectively use the system without actually going into the finer details of the working. So, to create such a user friendly platform for the system we have designed a (GUI) Graphic User Interface where user can actually select the method which they want to be used for the image retrieval and that will give them an option of using different method if the result is not as per their requirement. The larger the collection of images, the greater is the chance that it contains an image similar to the query image.. The aim of this project is to review the current state of the art in content-based image retrieval (CBIR), a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape.

WANG Database, Feature Extraction.

"Content Based Image Retrieval Using Texture and Color", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.313-316, April-2019, Available :http://www.jetir.org/papers/JETIR1904C51.pdf

"Content Based Image Retrieval Using Texture and Color", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp313-316, April-2019, Available at : http://www.jetir.org/papers/JETIR1904C51.pdf