Image processing of solid wood panels based on genetic algorithm

Image processing is an important technology that plays a key role in many fields. It performs operations such as image acquisition, enhancement, restoration and compression through digital means. With the development of artificial intelligence and deep learning, image processing technology becomes more and more accurate and efficient. This paper discusses the defect extraction of solid wood panel images using genetic algorithms in the actual application scenario of solid wood grading and makes a comparison. The comparison results show that the image processing results obtained using genetic algorithms are clearer and more accurate.