Method for preliminarily retrieving images
An image and image feature technology, applied in the field of image processing, can solve the problems of long retrieval time and poor efficiency, and achieve the effect of reducing the retrieval range, improving efficiency and shortening retrieval time.
Inactive Publication Date: 2013-09-04
SHANGHAI DIANJI UNIV
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[0006] The purpose of the present invention is to provide an image pre-retrieval method to solve the problems of long retrieval time, poor efficiency and low efficiency in the existing image pre-retrieval method under the premise of incomplete initial graphic image information
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[0026] The image pre-retrieval method proposed by the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.
[0027] Image retrieval is achieved by retrieving the basic features (attributes) of specified objects and their feature values (attribute values). An image retrieval system can be described by a quadruple attribute as follows:
[0028] S=(J, D, Q, α); where,
[0029] J={t1,t2,. . . , tm} is a collection of attributes;
[0030] D={d1,d2,. . . , dn} is the set of retrieved objects;
[0031] Q={q1,q2,. . . , qp} is the attribute set of the target retrieval obj...
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The invention provides a method for preliminarily retrieving images. The method includes extracting attributes and attribute values of each object in a certain graph library or a certain image library, and creating a graph feature library or an image feature library; acquiring concurrence frequency values of all the attributes in the graph feature library or the image feature library; acquiring an uncertainty function according to the frequency values; acquiring a membership function according to the uncertainty function; acquiring lower approximation and upper approximation of each object according to the membership function; determining lower approximation and upper approximation of an inquiry; respectively roughly matching the lower approximation and the upper approximation of the inquiry with the lower approximation and the upper approximation of each object; and sequentially outputting matching results. The method has the advantages that graphs or images in a database are queued according to correlation degrees of the graphs or the images in the database to requirements of a user (on a target graph or a target image) and are provided for the user according to a certain sequence, so that the initial retrieval range is greatly reduced, the retrieval time is greatly shortened, and the retrieval efficiency is improved.
Description
technical field [0001] The invention relates to the field of image processing, in particular to an image pre-retrieval method. Background technique [0002] In recent years, the application and research of rough set theory (rough set) has made rapid development. As a new effective mathematical tool to deal with ambiguity and uncertainty, rough set theory is characterized by the fact that it does not need to pre-specify the quantitative description of some features or attributes, such as the probability distribution in statistics and the fuzzy set theory. Instead, it directly starts from the description set of a given problem, and determines the approximate domain of a given problem through indistinguishable relations and indistinguishable classes, so as to find out the internal laws of the problem. [0003] Today some scholars have applied rough set theory to the field of image processing and understanding, such as using rough set theory for image feature extraction and ima...
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IPC IPC(8): G06F17/30
Inventor 胡静
Owner SHANGHAI DIANJI UNIV