Color Texture Image Recognition based on Deep Learning
Shuping Xiao · 2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI) · 2022
Traditional image recognition mainly preprocesses the image based on the basic characteristics of the image, and then classifies the image after processing, but the whole process is complicated and requires a lot of resources to be invested, and the recognition effect may not meet people's expectations. The introduction of deep learning (DL) algorithms has further improved the efficiency of texture image recognition, and can also improve the time-consuming and labor-intensive shortcomings of traditional image recognition (IR). Deep learning imitates the hierarchical structure of the human brain neural network, removing invalid information layer by layer from the input information, and extracting effective information. Applying DL to the field of IR can achieve better target feature extraction and higher classification accuracy, and further improve the accuracy of image recognition.