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Video stream segmentation is a critical step in many computer vision applications. Background subtraction based on Gaussian Mixture Model (GMM) is a commonly used technique for video segmentation. In this paper, an improved Adaptive-K Gaussian Mixture Model (AKGMM) method was presented for updating background. The dimension of the parameter space at each pixel can be adjusted adaptively according...
Accurate hand segmentation is a challenging task in computer vision applications. We propose a new method to segment hand based on free-form skin color model. The pixel value of a person's hand is captured and represented in YCbCr color model. The CbCr color space is mapped to a CbCr plane in order to produce a clustered region of skin color. Then, instead of using ellipse to model the skin color,...
A scheme for auto classification of skin symptom is introduced in this paper. It classifies different skin symptoms based on the principle of least Mahalanobis distance. Skin images with symptom to be identified will be preprocessed at first. Basic operations of preprocessing includes color space transformation, image segmentation based on threshold by self-adapting method, image post-processing by...
In computer vision and pattern recognition, the role of image processing for image segmentation or object boundary recognition plays a key role. In traditional snake algorithm the boundary of image is considered as parametric curve. The process of finding an object boundary has become an energy minimization process. In the project work a combined process of GVF Snake algorithm which has larger capture...
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