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Region labeling is an important task in automatic image processing. It consists of assigning information (labels) to each pixel regarding their position, level, etc. and also information regarding the group to which each pixel belongs. This information is useful for many diverse purposes. There are several approaches within this field to perform this task, among these, the region growing implementation...
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...
Since there is deficiency in parameter estimation and classification of traditional change detection approach of remote sensing image based on Bayes decision rules. This paper adopts the method of dynamic updating the parameters and gains the posteriori probability function through these parameters. Then, Compute the criterion function through transforming the posteriori probability function to fuzzy...
In this paper we propose a novel and efficient technique for finding keywords typed by the user in digitised machine-printed historical documents using the dynamic time warping (DTW) algorithm. The method uses word portions located at the beginning and end of each segmented word of the processed documents and try to estimate the position of the first and last characters in order to reduce the list...
Computer-assisted vertebra segmentation in X-ray images is a challenging problem. Inter-subject variability and the generally poor contrast of digitized radiograph images contribute to the segmentation difficulty. In this paper, a semi-automated live wire approach is investigated for vertebrae segmentation. The live wire approach integrates initially selected user points with dynamic programming to...
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