Method for positioning pig carcass backfat thickness detection position by combining image processing and deep learning

The invention discloses a method for positioning a pig carcass backfat thickness detection position by combining image processing and deep learning, and the method comprises the steps: building a soft triggering method based on the color characteristics of a pig carcass, and achieving the automatic triggering collection of a pig carcass production line; a preprocessing and feature extraction method for the pig carcass image is constructed to improve the quality of the pig carcass image, and the segmentation of the thoracic cavity region can be quickly and accurately realized; based on the frequency domain features, the texture features and the chest position features, a pig carcass position prediction model is established, and backfat thickness detection position regression prediction is achieved. According to the method, the pig carcass backfat thickness detection position is accurately positioned through image processing and a deep learning method, and the key problems that the detection position is difficu