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Depth estimation is an important part in computer vision, which can be used in augmented reality and pattern recognition etc. At present, there are many methods of depth extraction, such as depth from defocus (DFD), depth from focus (DFF), stereo vision etc. Usually, depth information is very hard to be extracted from only one single shot. In that case, the calculation is lack of constraint. Coded...
In this paper, we propose an algorithm for visually modeling rice panicle, which is based on the bending deformation model in mechanics of material. We firstly studied the morphologic structure of rice panicle, and then used an improved model of bending deformation to describe the curving morphology of panicle structure. The rachises and the curving morphology of various panicle branches were simulated...
This paper describes a novel fast mean shift algorithm based on an accelerated iteration strategy. This new method focuses on solving the problem of high calculation complexity when high data dimension or large data sets are involved in mean shift. By predicting the mean shift vector, improved method reduces the number of iteration and speed up the calculation. The application of traffic image filtering...
Dial gauge is used widely in the production line, whereas it has some flaws in application at present. This paper presents a type of instrument system which can manage and test dial gauge automatically based on machine vision, and describes the machine identify technique of the dial pointer through the technology of image processing. By comparing the feed value provided by precision feeding mechanism...
To solve the limitation of the current testing system for dial gauge, this paper proposes a machine vision-based automatic test instrument system. The system's test principle and structure are presented. Through the key image process algorithm, the dial gauge indicator automatic identification by machine is realized. By comparing the feed value provided by precision feeding mechanism with the actual...
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