Mode-recognition-based design method for biological abnormal water quality evaluation system
An evaluation system and pattern recognition technology, applied in the field of computer vision and pattern recognition, to overcome changes in ambient lighting and noise, improve model robustness, and improve robustness.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach
[0037] (1) Build a water quality evaluation platform
[0038] Build a water quality detection platform, use computer vision technology to convert the movement of live fish into video image data, and the results are as follows: figure 2 shown.
[0039] (2) Image preprocessing
[0040] The flow chart of image preprocessing is as follows: image 3 As shown, the original RGB image is preprocessed - after grayscale processing, it is as follows Figure 4 As shown in (a), the result of removing noise after bilateral filtering is as follows: Figure 4 As shown in (b), the result after DCT domain enhancement is as follows Figure 4 (c) shown.
[0041] Depend on Figure 4 It can be seen from the above that the image preprocessing method bilateral filtering proposed by the present invention can eliminate noise and the edges are clearer at the same time, and the DCT transformation can effectively suppress the influence of the lighting environment. The preprocessing in this step ca...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 