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To quickly detect the defection of moving object, base on the experiments and analysis of the advantages and disadvantages of the classical operator, a new detection method of SUSAN Operator and K-means clustering algorithm fusion is presented in this paper. This method integrates the advantages of the high precision of edge detection of the SUSAN Operator and the accurate online detection of K-Means...
Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage. Then it proposes an improved algorithm of Harris detection algorithm based on the neighboring point eliminating method. It reduces the time of the detection,...
This paper presents a real-time robust algorithm to automatically detect and classify round road signs on Chinese highways. As most of road signs on Chinese highways have circular borders, the detection system first takes advantage of a real-time circle detection algorithm to extract the regions of interest (ROI). Then the color and texture pattern in each ROI is analyzed and compared with sample...
Image segmentation is a fundamental task in many computer vision applications. In this paper, we propose a new unsupervised color image segmentation algorithm, which exploits the information obtained from detecting edges in color images in the CIE L*a*b* color space. To this effect, by using a color gradient detection technique, pixels without edges are clustered and labeled individually to identify...
In an eye gaze estimation system, pupil location is key part. And in order to get the position of pupil with high accuracy, edge detector algorithm is necessary. The Canny edge detector is widely used in computer vision to locate sharp intensity changes and to find object boundaries in an image. In this paper, we make a improvement based on dynamic threshold of edge detection algorithm. It makes up...
This paper presents a robust real-time algorithm to automatically detect and accurately locate ellipse objects in digital images. The algorithm consists of three steps. First the edge pixels are extracted using Canny edge detection algorithm and then a noise removal process is run to remove the non-ellipse edgepoints. In the second step, a direct least-square-fitting algorithm is used to calculate...
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