Image identification method based on difference feature description

Abstract

Disclosed is an image identification method based on difference feature description. The method includes the steps that firstly, the gray values of image pixel points are converted into the subordinate degree through a selected subordinating degree function; on the basis of defining a difference value concept, each set of adjacent pixel points, with the same difference value, of an image serves as an area, and feature vectors of the area are defined; each area is represented through a feature vector point at the mass center; the mass centers of the adjacent areas are connected through a triangle, the inner corners of the triangle serve as the relation angle of the adjacent areas, and features of a target image are extracted; finally, the features of an image to be identified are extracted, target feature matching is carried out on the processed image, and then whether the image contains the target image or not is determined. The difference values and direction of the image area feature points are combined, the novel image identification method is provided, and the image identification method is simple, convenient to implement, easy to understand, complete in feature and wide in application range, and has the better combination property compared with a traditional method.

Description

Technical field [0001] The invention relates to a method for identifying target images by describing image differences as features and constructing feature quantities to identify target images, belonging to the technical field of data processing. Background technique [0002] Image recognition is a hot topic in the field of image research. It is based on the main characteristics of the image, and uses a computer to process, analyze and understand the image to identify various targets and objects in different modes. Under normal circumstances, image target recognition, also known as pattern recognition on visual images, aims to use theories and methods in the field of image processing and pattern recognition to determine whether there is a target of interest in the image, and if it exists, give the target a reasonable Explain and determine its location if necessary. [0003] As an important research field in computer vision, image recognition has been widely used in military and ci...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the number of triangles generated by subdivision increases sharply with the increase of feature points, which greatly affects the efficiency of the algorithm.

[0017] The above image recognition methods have their own advantages and disadvantages, and some are limited to some special application fields, such as license plate recognition, face recognition, text recognition, etc.

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