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Image segmentation is a classic problem and basic research area in image processing. It can provide pre-detect information for subsequent image processing and classification. 2D Otsu method is a widely used non-parametric method to detect the threshold of image. In this paper, we employ the simplified swarm optimization (SSO) as a swarm-intelligent optimization method to search the threshold value...
The smoke detection in remote video surveillance is of great importance in forest fire prevention since smoke usually appears before fire. In order to solve this problem, we proposed a novel smoke detection algorithm based on fast self-tuning background subtraction segmentation and judgments of smoke analysis. First, a self-tuning background algorithm is utilized on the source image to segment the...
Accurate object segmentation remains a significant procedure in computer vision tasks. In this paper we propose a novel object segmentation method which based on region fusion and grab-cut. In the preprocessing stage, we segment the input image into superpixels as processing units. Then, we use a graph structure to model the superpixels and their correlations. To achieve the goal of region fusion,...
This paper presents a method for recognizing aerial image categories based on matching graphlets(i.e., small connected subgraphs) extracted from aerial images. By constructing a Region Adjacency Graph (RAG) to encode the geometric property and the color distribution of each aerial image, we cast aerial image category recognition as RAG-to-RAG matching. Based on graph theory, RAG-to-RAG matching is...
Spot detection is an important step in 2D-GE image analysis. The results of Spot detection may substantially influence subsequent stages of gel image analysis. However, in current suggested methods, the detection of spot in complex regions are far from satisfactory. This paper provides an effective method to raise the accuracy of spot detection in complex regions where many protein spots are overlapped...
Two-dimensional gel electrophoresis (2D-GE) is the powerful technique used by biochemists to resolve and visualize protein samples. The 2D-GE images depict protein signals as spots of various intensities and sizes. Currently, the most popular technique for spot detection in 2D-GE image is the watershed transform (WST) due to its robustness. However presence of noise in 2D-GE images forces WST to oversegment...
In order to speed up the segmentation procedure and solve the problem of noise-sensibility in image segmentation, the paper suggests a fast SAR (Synthetic Aperture Radar image) image segmentation method, which integrates SWT (Stationary Wavelet Transform) and AFSA (Artificial Fish Swarm Algorithm). In the method, an original image is decomposed by multilevel SWT firstly. And then, approximation coefficients...
This paper investigates the ldquoinside-outrdquo recognition of everyday manipulation tasks using a gaze-directed camera, which is a camera that actively directs at the visual attention focus of the person wearing the camera. We present EYEWATCHME, an integrated vision and state estimation system that at the same time tracks the positions and the poses of the acting hands, the pose that the manipulated...
This paper proposes a robust SAR image segmentation scheme for SAR images with speckle noise. Our method can simulate the intrinsic property of SAR image by the proposed infinite mixture model-Dirichlet process mixture model and determine the cluster number automatically. The Gaussian-Hermite moment is applied to extract features to improve the robust of segmentation and reduce the influence of speckle...
Objects like field lines and players are important for semantic analysis in soccer video. In this paper, we propose effective methods for field lines and players detection and recognition. Regions of field lines and players are first segmented from shot of wide angle view. Gray value top-hat transform is then performed on the segmented region to detect field lines. Mid-lines, end-lines and penalty-lines...
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