Image feature-based image subject identification method

Abstract

The invention discloses an image feature-based image subject identification method. According to the method, primary processing of an image is performed firstly, image features are deepened through image enhancement, and a foreground is roughly separated from a background; morphological processing is mainly used for extracting the image features, and a segmentation process is used for dividing the image into elements or target objects; the search on the image feature extraction is that the extracted image elements or target objects are represented in a numerical form suitable for subsequent processing of a computer, and finally features capable of being directly used for a classifier model generated by machine learning are formed; a distributed environment improves search efficiency and parallel computing capability; and the input image is identified through the method to obtain feature data, an image with highest similarity with the input image is searched for and output, and whether the two images are matched or not is judged. The invention provides a stable and feasible image search method. The semanteme of the image is deeply analyzed and learnt, so that the time and speed of a current search algorithm are shortened and increased, the network restrictions are avoided, and the universality is very high.

Description

technical field [0001] The invention relates to a method of how to extract image hidden information and classify a large image library for efficient identification, and output the result for use, especially a method for identifying image subjects based on image features. [0002] It has made great progress in improving retrieval efficiency, so it has broad application prospects. Background technique [0003] The image subject recognition method based on image features means that only the consumer needs to provide a picture of the desired item, and the feature information of the improved item can be obtained through this method. With the rapid growth of WWW and the rapid development of multimedia technology, it has become an urgent need for people to quickly and effectively retrieve, query and browse Internet picture information. At present, some existing image search methods mostly use text keywords and link information to search and retrieve images, and do not use the visu...

AI Technical Summary

Problems solved by technology

This method encodes the image feature information and makes it into a lookup table. The more feature labels, although the search accuracy can be improved, but the search time will be limited; in the similarity matching calculation, although the determination of the threshold is based on the required The robustness is determined, but it still needs multiple trials to confirm the final confirmation

This method is still at a relatively basic stage in the analysis of image semantics, causing some special input images to not get correct matching results, and most of the time it will be restricted by the network, and it will not be easy to implement in China.

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