Underwater fishing method based on machine vision

Abstract

The invention relates to an underwater fishing method based on machine vision, and the method comprises the steps: monitoring the growth condition of fishes in real time through the cooperation of anunderwater fishing device and the steps of fish recognition and classification, fish length measurement and weight prediction, and accurately mastering the optimal fishing period; wherein the fish identification classification comprises image acquisition and preprocessing, wavelet feature extraction and BP neural network fish image classification, and the fish length measurement and weight prediction comprises fish sample length and weight parameter acquisition, fish length information extraction, length error compensation and weight prediction. The underwater fishing method based on machine vision has the advantages that fishes of specific types and specific sizes can be captured, meanwhile, the weight of the fishes can be estimated, the growth condition of the fishes can be monitored inreal time, and the optimal fishing period can be accurately mastered.

Description

technical field [0001] The invention relates to an underwater fish catching technology, in particular to an underwater fishing method based on machine vision. Background technique [0002] The main targets of marine fishery production are dense populations of fish or economic animals that are migrating, breeding, feeding or overwintering, especially breeding populations, which have high density and stability, and most fish populations are of the same length. Groups or clusters of the same age group, such as salmon and trout, are particularly obvious. [0003] Therefore, during fishing operations, if cruel fishing is carried out on objects (such as young or sexually immature juveniles) that do not meet the fishing specifications, the gain will not be worth the loss, which will seriously affect the amount of resources in the coming year, and even lead to the decline of fishery resources. , Endless troubles. Therefore, to achieve sustainable and rational fishing, it is necess...

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