A NOVEL TEXTURE AND SHAPE PATTERN-BASED FEATURE EXTRACTION TECHNIQUE FOR IMAGE RETRIEVAL IN MEDICAL IMAGES

Abstract In recent years, especially Image Retrieval (IR) is a very challenging task and evolves into a complex problem in particular conventional Ultrasound image processing area or any other medical images domain. Many researchers have developed different image retrieval systems for solving this problem. In this paper, we have presented an image retrieval system based on the new shape pattern texture feature extraction using the gradient method in the 3x3 neighbourhoodand also using histograms for improving the accuracy of object detection and image retrieval is designed. A new shape feature extraction scheme with the inclusion of vertical and horizontal gradient information and intensity information is identified with the formulated fuzzy rules suitable for an optimum threshold value for region detection is methodology. The newly extracted shape feature is represented in a vector form and that is then stored as a single feature. To this Shape feature, the texture feature is added and stored as a single feature vector in the database. Finally, for the query image, features will be extracted and it is matched with the proper distance measure. Subsequently, those two features are matched feature library for image retrieval .In the case of no query image is given and an input image is taken from the stored database and using the distance values, the relevant images are retrieved from the medical image database. The implemented technique works for both static and sequence of video images i.e., video image retrieval of same images type.