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We define corner points in an image as the intersections among detected straight line segments, and propose an algorithm that detects corners from such a definition. Our corner detection algorithm CLDC then makes use of the LDC (Line Detection using Contours) algorithm from, which outputs the list of all detected line segments together with their endpoints. Each line segment is extended in a post-processing...
Computer vision involves image edge detection which is crucial in outline capturing systems for decomposing and describing an object. This paper presents a scalable parallel algorithm skeleton for outline capturing and object recognition based on first order difference chain encoding. UNIX based Intel Xeon 2-Quadra-Core system is used for the implementation of the parallel algorithm. The algorithm...
One of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of image where the preciseness and reliability of its results will affect directly the comprehension machine system made for objective world. Several edge detectors have been developed in the past decades, although no single edge detectors have...
This paper presents an efficient blind method for image quality measurement. The key idea is to characterize image quality in terms of image sharpness while the sharpness is considered as blurring. The blur parameter is estimated using sharp edges in the underlying image. To improve the system efficiency, a criterion for edge sharpness is proposed and only the sharpest edges are selected for extraction...
Background subtraction is a widely used method for moving object detection in computer vision field. To cope with highly dynamic and complex environments, the mixture of models has been proposed. In this paper, a background subtraction method is proposed based on the popular Gaussian Mixture Models technique and a scheme is put forward to adaptively adjust the number of Gaussian distributions aiming...
Image registration is an important task in the field of computer vision and pattern recognition. And the applied values is also reflected in the study of remote sensing, medical imaging and the object indentifying of multi-sensor fusion. In this paper, a new subpixel registration methods which based on wavelet analysis was proposed by improving polynomial subdivision algorithm and pixel level registration...
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