Underwater sea cucumber image processing method and system based on wavelet transform algorithm

Abstract

The invention provides an underwater sea cucumber image processing method and system based on wavelet transform algorithm. The underwater sea cucumber image processing method includes converting underwater sea cucumber images into gray images; decomposing the gray images by wavelet function to obtain low-frequency sub-band approximate images of the gray images and high-frequency sub-band detail images of the gray images at the horizontal, vertical and diagonal edges; subjecting the high-frequency sub-band detail images of the gray images at the diagonal edges to threshold denoising according to default threshold value of the gray images; enhancing the edges of the low-frequency sub-band approximate images; subjecting the high-frequency sub-band detail images at the horizontal and vertical edges and the diagonal edges, high-frequency sub-band detail images with the threshold denoised at the diagonal edges and low-frequency sub-band approximate images with the edges enhanced to two-dimensional wavelet reconstruction to obtain underwater sea cucumber images after wavelet transform. The underwater sea cucumber images are denoised by wavelet transform algorithm to obtain high-definition images, and the underwater sea cucumber image processing method lays foundation for sea cucumber identification and fishing.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an underwater sea cucumber image processing method and system based on a wavelet transform algorithm. Background technique [0002] Due to the imperfection of imaging system, image acquisition system and transmission system, digital images often have a lot of noise and cannot be used directly in the vision system. Image processing operations such as grayscale correction and noise filtering must be performed on it. Image processing and analysis is the core part of machine vision. Among them, the purpose of image processing is to eliminate noise, suppress the background and highlight the target; and the ultimate goal of image analysis is to achieve target extraction and recognition, and in order to achieve this goal, it is first necessary to separate the target from the background, and then Express and describe the target, extract the features, and finally use the pattern...

AI Technical Summary

Problems solved by technology

[0005] At present, the commonly used sea cucumber fishing methods include trawling and artificial diving. Trawling not only causes excessive fishing of sea cucumbers, but also destroys the ecological environment of the ocean, resulting in a sharp decline in sea cucumber resources; artificial fishing poses a serious threat to the lives of divers.

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