Study of distinguishable method for mixed images with similar background

To distinguish a certain object from mixed images with similar background, this paper proposes an image feature texture extraction method for distinguishing mixed images in similar backgrounds. Taking a mixed image of soybean and weed as an example, the method can accurately and quickly distinguish soybean and weed. In this paper, various fuzzy signals are first studied, the uncertainty classification and its impact are analyzed, a method for fuzzy signal processing is proposed. Secondly, this paper uses function packet to extract the texture features of the target, texture decomposition can obtain more detailed and rich target textures. Finally, using feature matching algorithm to determine the similarity between two feature vectors in an image, soybean recognition is completed, thereby removing weeds from the mixture of soybeans and weeds. Compared with the relevant performance of existing extraction methods, the accuracy of the proposed method is achieved more than 95%. It not only has fast processing speed, but also has adaptation to environment. This research has special practical significance and broad practical application prospects, provides important theoretical references and practical significance for fuzzy feature extraction.