Automatic squid classification method based on color image and convolutional neural network technology

TL;DR: Wang et al. as mentioned in this paper presented an automatic squid classification method based on a color image and a convolutional neural network technology, which comprises the following steps: unfreezing squids, cleaning the unfrozen squids and removing pollutants on the surfaces of the squids.

Abstract: The invention discloses an automatic squid classification method based on a color image and a convolutional neural network technology, which comprises the following steps: unfreezing squids, cleaningthe unfrozen squids, removing pollutants on the surfaces of the squids, and removing damaged squids to prepare squid samples for automatic classification of the squids; flatly unfolding the squid sample on work, placing the squid sample in an auxiliary light source irradiation area, and performing image acquisition on the squid sample at different angles by using shooting equipment to obtain an original squid image; carrying out image preprocessing on the original squid image to obtain a test image; inputting the test image into an improved convolutional neural network for training to obtain image features of different types of squids so as to realize squid classification and recognition. According to the method, the machine vision technology and the deep learning framework are combined, the features of the squids in the image are automatically extracted through the improved convolutional neural network, correct classification of different varieties is achieved, and therefore the requirement for fine processing in industrialized production is met.