Content Based Image Retrieval using Novel Gaussian Fuzzy Feed Forward-Neural Network | Science Publications

Journal of Computer Science

C. R.B. Durai¹  V. Duraisamy¹ 

关键词: Data mining;    Content-Based Image Retrieval (CBIR);    image retrieval;    discrete cosine transform;    information gain;    neural network;    Gaussian fuzzy feed forward;    pathological image;    classification algorithm;   

DOI  :  10.3844/jcssp.2011.958.961

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: With extensive digitization of images, diagrams and paintings, traditional keyword based search has been found to be inefficient for retrieval of the required data. Content-Based Image Retrieval (CBIR) system responds to image queries as input and relies on image content, using techniques from computer vision and image processing to interpret and understand it, while using techniques from information retrieval and databases to rapidly locate and retrieve images suiting an input query. CBIR finds extensive applications in the field of medicine as it assists a doctor to make better decisions by referring the CBIR system and gain confidence. Approach: Various methods have been proposed for CBIR using image low level image features like histogram, color layout, texture and analysis of the image in the frequency domain. Similarly various classification algorithms like Na

【 授权许可】

Unknown