Grabcut-based sandstone particle improved segmentation algorithm research

Abstract

The invention discloses Grabcut-based sandstone particle improved segmentation algorithm research, and provides a sandstone particle size segmentation algorithm based on an image. Firstly, a method for adaptively and automatically generating a target candidate box is provided, a foreground and background mixed model can be quickly segmented from a background image, the time for manually drawing the box is greatly shortened, and the requirement for real-time performance in an engineering field is met; secondly, the mass center of the super-pixel image of the SLIC is clustered by adopting a K-Means clustering method based on the SLIC, so that the number of samples participating in clustering can be greatly reduced; the Gibbs energy function can determine the weights of the two segmented edges; in order to reduce the number of iterations of foreground and background segmentation of an unknown label of Grabcut in a candidate box, an information entropy function with a certain weight is added to an energy function of Gibbs, segmentation information of a segmented image is supervised, and the real-time performance of the system is further optimized. The invention can be applied to real-time on-line analysis of the grain size of the sandstone in a factory.

Description

technical field [0001] The invention relates to the field of industrial machine vision analysis in the construction industry, in particular to a research on an improved segmentation algorithm of sand and gravel particles based on Grabcut. Background technique [0002] The coarse aggregate grading ratio of concrete is especially important for the working performance of the concrete mixture and the strength and hardness shrinkage of the hardened concrete. The particle size distribution detection of concrete aggregate is indispensable in the transportation industry and construction industry. link. If the concrete aggregate fails to meet the national standard ratio, it will lead to problems such as material waste, poor durability, and low concrete strength. The aggregate must be used in production practice after ensuring that the particle size distribution of the concrete meets the standard. However, the traditional mechanical sieving method uses mechanical shaking to make conc...

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Problems solved by technology

[0004] Aiming at the above-mentioned defects in the prior art, the technical problem to be solved in the present invention is: in order to overcome the problem of processing target delay caused by manually drawing the target candidate frame, adopt the method of adaptively drawing the target candidate frame according to the periphery of the area where the edge is located in the image ; In order to reduce the problem of introducing a large amount of calculation by clustering each pixel, the method of generating SLIC superpixel images is adopted, and only the centroids of the superpixels are clustered, which greatly reduces the complexity of calculation; in order to reduce Grabcut in the final The number of iterations of segmentation, introducing the variable of information entropy in the Gibbs energy function, can speed up the convergence speed of image segmentation

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