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Image segmentation is an important issue in computer vision. The methods based on Fuzzy C-Means (FCM) algorithms have gained success. However, these approaches deal with each pixel as a separate object, which will ignore the spatial information among these pixels. This paper proposes an approach which combines the Fuzzy C-Means algorithm and Graph Cut Theory both for gray and color image segmentation...
This paper proposes an approach which combines the Decision Theoretic Rough Set model (DTRS) and Fuzzy C-Means(FCM) algorithm to perform color image segmentation. The FCM algorithm has the limitation that it requires the initialization of cluster centroids and the number of clusters. In this paper, the DTRS model is applied to color image segmentation for the purpose of clustering validity analysis...
As the video detection technology has become a hot issue in the Intelligent Transportation System (ITS), detecting the moving vehicles accurately in real-time is one of the challenging problems. This paper describes a real-time method for segmenting moving vehicles in dynamic scenes. An adaptive background update algorithm based on three-frame difference is proposed. By this method, the background...
Due to the presence of speckle noise, segmentation of Synthetic Aperture Radar (SAR) images is still a challenging problem. This paper proposes a fast SAR image segmentation method based on Artificial Bee Colony (ABC) algorithm. In this method, threshold estimation is regarded as a search procedure that searches for an appropriate value in a continuous grayscale interval. Hence, ABC algorithm is introduced...
This paper proposes a new method of extracting feature points of hand. The method uses the center of mass of the hand as the match point to calculate the location information of the target based on Mathematical model of binocular visual positioning. The convex hull points of hand contour obtained by image segmentation can be used to identify the different gestures. Furthermore, a system with both...
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