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Image segmentation is a fundamental problem in image processing and computer vision. Its goal is to separate an image into a collection of distinct regions, after which other high-level tasks can be performed. Nomalized cut (Ncut) algorithm is the most popular one in image segmentation algorithms. However, the number of segmentation regions needs to be specified by users or experts before the Ncut...
This study proposes an efficient method to handle the object occlusions seen in monocular traffic image sequences. The motivation of this study is different methods perform differently in occlusion segmentation and the authors' idea is to use a situation-driven approach to aggregate different methods in order to get a good performance. This study classifies occlusion into four categories according...
This paper introduces a novel pre-locating algorithm for rapid logo detection in unconstrained color images. This work is distinguished by two major contributions. The first is a new method of representation for logo called “spatial connected component descriptor” (SCCD) containing connected component (CC) prediction model and effective-CC pixel distribution histogram. The former represents combinations...
The biometrics identification technology based on vein pattern has being developed rapidly in recent years. However, the vein image acquired by near-infrared (NIR) imaging device has low contrast and usually has a mount of noise which make an effective image segmentation be a great challenge. Thresholding is a popular vein image segmentation method, which is easy to calculate and can shorten the recognition...
A new method for measuring cable insulation layer parameters and its principle are presented. In order to facilitate the research of testing and measuring cable insulation layer parameters, the system based on computer vision is designed using Visual C++. After the amplification coefficient of microscope is calibrated, image is captured by CCD camera. Then, for the sake of better detecting the image...
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