Colorimetry color feature vector automatic extracting method based on machine vision

Abstract

The invention discloses a colorimetry color feature vector automatic extracting method based on machine vision, which can greatly reduce system construction cost while realizing a broad spectrum water quality test. In the technical scheme, the colorimetry color feature vector automatic extracting method based on the machine vision is characterized by comprising the following steps of: 1, shootinga digital image for a sample pate of a water quality detection test, and determining four relevant positioning points on the image; 2, establishing four vector straight line equations on the basis ofthe positioning points in the step 1; converting the four vector straight line equations into four boundary equations of searching regions based on pixels; converting the images in the searching regions into binary images; carrying out region marking on the binary images to obtain K positions of regions of interest in the binary images; and acquiring the K regions of interest on the initial digital image, i.e. calculating M relevant feature vectors in each region.

Description

technical field [0001] The invention belongs to the field of spectrophotometric water quality detection methods, in particular to a machine vision-based colorimetric color feature vector automatic extraction method that realizes broad-spectrum water quality testing and greatly reduces system cost. Background technique [0002] The current spectrophotometric water quality detection technology is based on a single spectral light source, such as a laser light source, and the light source detector also has a narrow sensing window. This limits this type of technology to be effective only for detecting certain types of substances, and does not have broad-spectrum characteristics. [0003] Since the current spectrophotometric water quality detection technology uses a laser light source, its manufacture is relatively complicated and the cost is relatively expensive. At the same time, when adding detection parameters, a corresponding laser light source is required, resulting in the d...

AI Technical Summary

Problems solved by technology

[0003] Since the current spectrophotometric water quality detection technology uses a laser light source, its manufacture is relatively complicated and the cost is relatively expensive. At the same time, when adding detection parameters, a corresponding laser light source should be added, resulting in the disadvantage of complex system.

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