• Miss. Renuka P. Arbat
• Dr. Dhanraj R. Dhotre

Content- based image retrieval (CBIR) has been wide researched for the retrieval of contently similar pictures. In several applications like education, biomedicine, crime hindrance the importance of digital information is increasing speedily. During this paper we have a tendency to area unit planned a content-based retrieval model , initial user must offer a question image that is then accustomed retrieve the pictures that area unit similar from information. Image retrieval is being done by mistreatment content of digital image referred to as options i.e. color and texture feature. To extract these options the system uses color histogram for color feature and wavelet transform for texture and site info of a picture. The planned system reduces the interval for retrieval from information containing 651 general color images with more brilliant representatives.

Image Retrieval, Color Histogram, Quantization, Haar Wavelet Transform.

"System for Content-Based Image retrieval using Wavelet Transform and Histogram Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.22-31, May-2019, Available :http://www.jetir.org/papers/JETIR1905K03.pdf

"System for Content-Based Image retrieval using Wavelet Transform and Histogram Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp22-31, May-2019, Available at : http://www.jetir.org/papers/JETIR1905K03.pdf