Automatic image detection method for moving microorganisms in sewage

Abstract

The invention discloses an automatic image detection method for motive microorganisms sewage, and belongs to the technical field of image processing. The method of the invention comprises steps of: step 1. capturing a video image of motion microorganisms in sewage ; step 2. creating a multi-layer adaptive codebook model, and performing moving target detection on the captured image according to the codebook model; step 3. performing target contour extraction on the captured image by using an improved five-frame differential algorithm; step 4. merging or calculating a moving target detection result obtained in step 2 and a moving target contour obtained in step 3; and step 5. performing morphological processing and area filling on an obtained image, so as to obtain a moving target detection result. According to the method of the invention, adaptive complex background modeling and a background updating mechanism are designed, background convergence is accelerated, and in combination with the complete and continuous target contour border extracted by using the improved five-frame differential algorithm, sewage microorganism automatic detection accuracy and efficiency are improved, and the experiment results also prove the effectiveness and real-time property of the method.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image automatic detection method for moving microorganisms in sewage. Background technique [0002] For a long time, the operation management of sewage biological treatment system has mainly relied on the determination and control of operating parameters and water quality indicators, and there is an obvious hysteresis effect. Studies have shown that the population structure characteristics such as microbial species, quantity, and activity changes in sewage biological treatment systems can predict process conditions and water quality treatment effects to a certain extent. Therefore, in recent years, along with the development of microscope technology and computer technology, the automatic recognition and qualitative analysis of the biological phase structure of sewage system by means of image analysis has attracted extensive attention. The target detection of moving m...

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Problems solved by technology

[0006] (1) The color contrast of microscopic imaging of sewage microorganisms is obviously insufficient, the viewing angle of video shooting is limited, the characteristics of moving objects are not clear, and the interference of various organic and inorganic substances such as suspended solids and colloids in sewage is serious;

[0007] (2) The target background of moving microorganisms is quite complex, often accompanied by phenomena such as occlusion, overlapping, adhesion, motion blur, and moving shadows. In addition, it will also be affected by water fluctuations;

[0008] (3) There are many types of sewage microorganisms with different living habits. The frequency, abundance and movement speed are closely related to the working conditions and their own activity, so it is difficult to accurately estimate;

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