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An Adaptive image segmentation algorithm based on geometric active contour (GAC) model was presented in this paper in order to solve the problem that tradition GAC model can not segment adaptively. By combining the regional information to construct energy functional description area information. We propose an improved adaptive image segmentation algorithm, This algorithm combines the advantages of...
Currently, most robots choose the path again to avoid obstacle. This paper proposed a new obstacle avoidance method for biped robots. When lower obstacle exists in the road, this paper will calculate the obstacle's three-dimensional information instead of using the traditional method of re-select the path, so that the biped robot will avoid obstacles successfully by crossing the obstacle. Calculating...
This paper presents a simplified dynamic object recognition algorithm. This algorithm, with a combination of region-based matching and feature-based matching, uses only a small amount of computation to achieve rapid identification of a target positioning. Experiments indicate that the algorithm shows smooth and fast recognition and accurate positioning on a single video track of the dynamic object...
Vision based fire detection is potentially a useful technique in large space building. Continuous images are taken from the digital color CCD (charge coupled device) camera. Then the images are processed with an fire detection scheme to determine whether a fire occurs in the vision field. Segmentation of fire from the background requires processing of color image. Once a fire is detected, it will...
To avoid the large-scale damage caused by fire occurring in large space building, there are many studies about image-processing technique for automatic real-time flame detection. Adaptive Canny edge algorithm and flame geometric features are combined to inspect flame area of video data generated by an ordinary camera monitoring. Firstly, candidate fire regions are detected using modified Canny operator...
For 3D medical images with strong similarities of interfacial gradients, a method is presented to bring local regional characteristics of segmented sections into adjacent sections waiting for segmentation and to guide the contour curves of the later to converge to actual boundary. The proposed method improves the stopping criterion of curve evolution through introduction of adjacent layer's prior...
According to the low calculating speed of Chan-Vese model for image segmentation caused by the iteration in process of evolution in the whole image region, a fast medical image segmentation method based on improved incremental variational level set is presented in this paper, in which incremental mode is adopted to get average gray value in iteration and a progressive iterative formula is used as...
The fast extraction of segmentation characteristic from images constructed by complex objects and contaminated by noise is a difficult problem in image process domain. A fast extraction algorithm of linear segmentation characteristic based on multiple processing to gray scale projection is proposed. The original gray scale projection of image is mapped with rectangle window to obtain statistics distribution...
Shadow elimination is critical for robust and reliable visual surveillance system. Because cast shadows have most motion features as the moving objects, it is difficult to eliminate it. This paper presents a novel moving cast shadow elimination algorithm. The algorithm is based on heuristic approach to detect and eliminate the human cast shadow. Moving region geometrical analysis approaches is proposed...
Unsupervised segmentation of volumetric data is still a challenging task. Recently, the level set methods have received a great deal of attention, which combine global smoothness with the flexibility of topology changes and offer significant advantages over conventional statistical classification. However, the level set methods suffer from heavy computational burden for a lot of iterations. We present...
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work with a short video containing a face rotating from frontal view to profile view. The whole approach consists of three components. First, automatic initialization is performed in the first frame with approximately frontal face...
Image segmentation is one of the basic steps for ultrasound image analysis and medical diagnosis. However, due to the intrinsic noisy nature, it remains to be a very difficult problem. A novel segmentation method based on watershed transform and early vision model is presented in this paper. The early vision model improves the antinoise and texture-sensitive capability of our algorithm and watershed...
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