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An image edge detection method of river regime is presented for river model images. This method of self-adaptive thresholding Canny edge detection can extracts the edges of river regime automatically. It not only inherits the advantages of traditional Canny Algorithm, but also uses the improved maximum variance ratio method to calculate the values of Canny gradient threshold self-adaptively. And on...
Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as object detection, recognition, and tracking. We propose a new method for detecting object boundaries using planar laser scanners (LIDARs) and, optionally, co-registered imagery. We formulate boundary detection as a classification...
In order to extract the flat feature stars, which are used to implement the space image registration, a feature descriptor based on WLD (Weber Local Descriptor) and feature dynamic selection method is proposed in this paper. Firstly, the feature stars are extracted and described by excitation and orientation using the WLD transform. Then we utilize a dynamic feature selection algorithm (DFSA), which...
Object tracking algorithm using modified Particle filter in low frame rate (LFR) video is proposed in this paper, which the object moving significantly and randomly between consecutive frames in the low frame rate situation. Traditionally, Particle filtering use motion transitions to model the movement of the target. However, in object tracking with low frame rate sequences, it is very difficult to...
Efficiency image matching technology is very important to assembly product line based on machine vision. SIFT (scale invariant feature transform) descriptor is commonly used in image matching because of the good invariance of scale, rotation, illumination. But its algorithm is complicated and computation time is long. To improve SIFT algorithm real-time quality, the method of reducing similar measure...
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