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Although feature selection has been proven to be very effective in machine learning and pattern classification applications, it has not been widely practiced in the area of image annotation and retrieval. This paper presents a method of selecting a near optimal to optimal subset of statistical texture descriptors in efficient representation and retrieval of ultrasound medical images. An objective...
The main objective of medical image segmentation is to extract and characterize anatomical structures with respect to some input features or expert knowledge. Traditional two-dimensional Otsu method for medical image segmentation is time-consuming computation and become an obstacle in real time application systems. This paper describes a way of medical image segmentation using optimized two-dimensional...
The automation edge extraction of glomerulus is an important step for analyzing kidney-tissue image in the computer aided diagnosis system of kidney disease. According to the characteristic of these medical images, this paper proposes a glomerulus extraction method based on wavelet transformation and watershed algorithm. First, a LOG filter is applied to the low-resolution image, which corresponds...
In this paper we present a segmentation method based on genetic active contours (genetic snakes) that are active contour models, also known as snakes, with an energy minimization procedure based on genetic algorithms (GA). Genetic snakes have been proposed to overcome some limits of the classical snakes, as initialization and existence of multiple minima, and have been successfully applied to images...
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