Content Based Image Retrieval System Using Texture Features And Fuzzy Membership Function
Priyanka Goyal, Rajbhupinder Kaur · International Journal of Advanced Research in Computer Science · 2016
Digital Image Processing is the process to perform various types of operations on different types of images. Content based image retrieval is branch of digital image processing. CBIR works in the principle of contents. In CBIR collared, medical and gray scale images have been used for processing. In medical images different types of content shapes have been extracted from the query image and image that contain particular shapes or contents have been extracted from database images. We studied various papers on CBIR. The main problem in the CBIR for medical images is that these shape or content features does not provide better results. In our work we will remove this by using various features like angular movement of image, correlation, entropy and energy of the image also has been computed. Keywords: DIP, CBIR, QBIC, CBVIR).