• Suhail Ashraf

The paper objective is to analyse colour patterns in Hue plane for the improvement of grayscale images for increasing accuracy. The research paper proposes an improvement over an existing content based images retrieval system by introducing Local Binary Pattern (LBP)over the Hue plane. The considered system has added colour parameter which has increased the overall accuracy of the system. A scheme for image retrieval based on residual DCT with GLCM features is proposed. Use of residual Discrete Cosine Transform (DCT) facilities high in increased accuracy. Further the system used Grey Level Co-occurrence Matrix(GLCM) matrix which are generally used to generate high dimensional information of pattern which in DCT image can clearly captures more details and thus have high accuracy. The basic principle is the representation of image as a feature vector and to measure the similarities between the query image and feature vectors of images in the database using image processing techniques. Experimental results have shown that the proposed method produces better results which consumes less computation time.. In this we computed residual image and then applied GLCM, along with Local Binary Pattern(LBP) over Hue planes. We applied Euclidian Distance for Content Based Image Retrieval(CBIR). Experiments were performed by loading dataset1 and applying algorithm to find accuracy, precision, specificity etc. Results indicate that our combined approach is better than other methods.

CBIR(Content Based Image Retrieval), LBP(Local Binary Pattern),GLCM(Grey Level Co-occurrence Matrix),DCT(Discrete Cosine Transform)

"IMAGE RETRIEVAL SCHEME USING GRAY LEVEL CO-OCURRANCE MATRIX(GLCM) & LOCAL BINARY PATTERN (LBP)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.f158-f163, August-2022, Available :http://www.jetir.org/papers/JETIR2208516.pdf

"IMAGE RETRIEVAL SCHEME USING GRAY LEVEL CO-OCURRANCE MATRIX(GLCM) & LOCAL BINARY PATTERN (LBP)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppf158-f163, August-2022, Available at : http://www.jetir.org/papers/JETIR2208516.pdf