Safety valve cavitation phenomenon discrimination method based on image saliency detection
A discrimination method and safety valve technology, which are applied in image enhancement, image analysis, image data processing, etc., can solve the problem of not considering the influence of interference information, and achieve the effect of avoiding cavitation and prolonging service life.
Pending Publication Date: 2021-12-31
DALIAN UNIV OF TECH
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For this reason, the block can be used as the unit of saliency calculation for detection, but this does not consider the influence of interference information in the image background
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[0035] Embodiment 1: as figure 1 As shown, the present invention proposes a safety valve valve cavitation discrimination method based on image saliency detection. Through the image saliency detection method, the salience detection is performed on the simulation images of safety valve valves under different working conditions. First, the present invention collects simulation images under different working conditions, then trains the collected images to obtain an over-complete dictionary, and obtains the corresponding coefficients of different channels of the simulation images, then processes the coefficients to obtain significant information in the coefficients and Return to the saliency map, and finally, judge whether the safety valve has cavitation according to the saliency image.
[0036] The first step is to collect figure 2 The simulated images shown in Fig. 1 are used as training samples for dictionary learning. The training samples are divided into blocks in the form ...
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The invention provides a safety valve cavitation phenomenon discrimination method based on image saliency detection, belongs to the technical field of digital image processing, and performs saliency detection on safety valve simulation images under different working conditions through an image saliency detection method. Firstly, simulation images under different working conditions are collected, then the collected images are trained to obtain an over-complete dictionary, corresponding coefficients of different channels of the simulation images are obtained, then the coefficients are processed to obtain saliency information in the coefficients, the saliency information is recovered into a saliency map, finally, the saliency image is judged according to expert experience so that whether the safety valve is cavitated is judged. The cavitation phenomenon can be identified when the safety valve simulates various working conditions, the cavitation state can be avoided in the design process of the safety valve, and the service life of the safety valve is prolonged.
Description
technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a method for distinguishing cavitation phenomena of safety valves and valves based on image saliency detection. Background technique [0002] Safety valves are important safety accessories for pressure equipment such as boilers, pressure vessels, and pressure pipelines, and are of great significance to overpressure protection. For the liquid flowing in the safety valve, cavitation often occurs in the valve. The cavitation phenomenon will not only affect the calculation of the valve caliber, but also cause serious disturbance and damage to the valve material, which seriously affects the life of the safety valve. Therefore, the cavitation phenomenon is a problem that cannot be underestimated in the calculation and selection process of safety valves. When air bubbles are formed in the orifice, it can be regarded as cavitation. [0003] Nowadays, with the rapid deve...
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IPC IPC(8): G06T7/00G06T7/10G06T7/90G06K9/62
CPCG06T7/0004G06T7/10G06T7/90G06T2207/20081G06T2207/30164G06F18/214
Inventor 宋学官王一棠
Owner DALIAN UNIV OF TECH