Landscape image segmentation and beauty evaluation based on convolution neural network

With the rapid development of science and technology, image information accounts for an increasing proportion in people’s daily life, which drives the development of the field of image processing. Among them, image segmentation is an important condition for understanding image content, so it has attracted much attention in this field. In the future, the image segmentation technology combined with some fields, especially the image segmentation algorithm based on convolutional neural network (CNN), will open up a new direction for image segmentation. The method of beauty evaluation (SBE) is an important aspect of landscape evaluation, which has guiding significance for improving the planning, construction and cognition of landscape ecological beauty. Therefore, this paper proposes landscape image segmentation and SBE based on CNN. Through the quantitative analysis model, SBE can be automatically identified with less manual participation, which is conducive to expanding the research ideas and technical means in the field of landscape evaluation, and provides reference for planning and design, landscape protection and quality improvement.