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Online measurement of wheel set wear parameters is important for train safety. The acquisition and processing of wheel set profile image is a key problem in online measuring based on machine vision. Appropriate threshold segmentation is needed to extract clear wheel set profile curve from varying background. Otsu algorithm is the traditional optimal threshold method, which is popular and efficient,...
Segmentation plays an important role in image processing, machine vision, pattern recognition and so on. Numerous segmentation methods based on bi-level thresholding have been proposed, assuming there are only two main populations in an image. However, for a complex image consisting of more populations, a multilevel thresholding is required. This paper presents a new hierarchical segmentation method...
In this paper, we present a new thresholding approach by local fuzzy entropy based competitive fuzzy edge detection for image segmentation which assign appropriate threshold effectively and reduces the affects of noise in edge detection and segmentation. In this algorithm first, edges detected by fuzzy logic and competitive rules, then there would be improvement in quality obtained edges by fuzzy...
Ship and wake detection from the SAR imagery have been studied for long time. In several situations, ship wake is not available for some reasons, such as sea status, the incidence angle of radar, and so on. Fortunately, ship always imaged in the radar image. In this paper a heterogeneity-based algorithm to detect ship in the open ocean is proposed. Firstly, a heterogeneity test is locally performed...
A study of color image segmentation with its dependence on color space representation is presented. Segmentation has been one of the basic procedures in image processing. Because of the three-fold increase in color signal dimension as compared to black-and-white images, an advantage resulting from the choice of color space representation could be taken to enhance the performances of processes such...
Particle swarm optimization (PSO) has recently emerged as a simple yet very efficient algorithm for global optimization over continuous spaces. This article describes the application of an improved variant of PSO to the segmentation of objects from complicated real life images. The segmentation task amounts to finding a robust and optimal threshold that separates an object from a background frame...
During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this...
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