Two-phase flow pattern feature extraction method

Abstract

The invention discloses a two-phase flow pattern feature extraction method. The invention belongs to the field of flow pattern recognition in metallurgy and chemical engineering. the method comprisesthe following steps: firstly, by adopting an existing visualization technology, for example, acquiring a two-phase flow mixed color image by a high-speed camera; preprocessing a color image by utilizing top hat transformation and image filtering in existing software matlab; after preprocessing, extracting RGBvalues of a representative target and a representative background respectively by adoptingthe existing Colorpix software; adopting a support vector machine (SVM) algorithm to segment a target and a background in a two-phase flow image, extracting the target or the background, and finallyrealizing target image recognition through an rgb2gram function in Matlab software and binarization threshold processing, so that two-phase flow distribution is reflected more directly. According to the method, the space-time distribution diagram of the two-phase flow can be obtained more directly. The flow pattern feature extraction method is simple and short in operation time, the image recognition precision is improved, and the subjectivity of selection of an existing threshold method is also avoided.

Description

technical field [0001] The invention belongs to the field of flow pattern identification in the field of metallurgy and chemical industry, and more specifically relates to a method for extracting flow pattern features of two-phase flow. Background technique [0002] With the rapid development of multimedia technology and computer networks, digital images have also developed on a large scale. In the face of disorderly distributed images, the traditional technology can no longer meet the needs of users. The difficulty of target detection based on static pictures is that the target in the picture will change due to changes in illumination, viewing angle and target interior. Aiming at the task and difficulty of target detection, scholars at home and abroad have made many attempts. Based on these image feature extraction algorithms, there are some defects in solving static pictures: low detection accuracy; target detection time is too long, etc. [0003] Two-phase flow widely ...

AI Technical Summary

Problems solved by technology

Based on these image feature extraction algorithms, there are some defects in solving static pictures: low detection accuracy; target detection time is too long, etc.

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