• Shaheen
• Er. Pushpinder singh

Content-based image retrieval system is the field of digital image processing for retrieval of relevant information from dataset that contains huge amount of images. In this paper, a novel approach has been developed that is based on shape, color and texture features for retrieval of relevant information from the datasets. In this, features from the images have been extracted based on various features extraction techniques. Fuzzy rule based knowledge extraction model has been implemented so that color based features can be extracted from images and ICH, MDLBP and SURF has been used for extraction of all other features from the images. All these features have been fused into a single feature vector that provide information about image that containing shape, texture and color features. On the basis of these approaches, retrieval of the images has been done. Precision, recall and Computation time are the parameters that describe proposed model outperforms existing approaches.

CBIR, FCH, ICH, LBP, GLCM and Fuzzy

"A Novel Approach for Content-Based Image Retrieval based on Color, Shape and Texture Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.567-571, December-2018, Available :http://www.jetir.org/papers/JETIR1812A79.pdf

"A Novel Approach for Content-Based Image Retrieval based on Color, Shape and Texture Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp567-571, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A79.pdf