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A novel method will be proposed to automatically segment the tissue of brain in magnetic resonance (MR) images. The core idea behind this method is the mixed use of Gaussian mixture model and K-means Algorithm (GKA). In this paper, the brain tissue of MR images will be segmented into White Matter (WM), Gray Matter (GM) and Cerebrospinal Fluid (CSF) by adopting the GKA method. Both the classic Gaussian...
Image segmentation plays a preliminary and indispensable step in medical image processing. Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm called image Filtering spatial Kernel Fuzzy C-Means(FKFCM) for fuzzy segmentation of magnetic resonance imaging (MRI)data. The algorithm is realized by modifying the objective function in...
A multi-race face detection system based on skin color and eyes is presented for images. It consists of skin color segmentation, template matching and eye location. In skin color segmentation, an additional channel for dark color race is added based on different skin color clustering characteristic between dark and light color race in color spaces. This additional channel can increase the number of...
Vein pattern is used as biometric feature in recent 20 years and It attracts much attention from 2000. A complete vein pattern recognition system contains three key procedures, vein image collection, vein pattern segment and feature extraction. In this paper, we adopt low-cost collection devices and discuss all the three parts in details. First a novel image collection way is proposed, which could...
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