An image retrieval method and system based on probability histogram area similarity
A probability histogram, image retrieval technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as poor robustness, affecting retrieval efficiency and accuracy, and confusion of image similarity.
Active Publication Date: 2020-11-03
BEIJING POLYTECHNIC COLLEGE
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[0004] Although the above studies have made corresponding improvements to image retrieval, the similarity of image retrieval based on histograms is expressed by the distance between images, which makes the definition of image similarity confusing and poor in robustness, which affects retrieval. efficiency and accuracy
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[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0064] The purpose of the present invention is to provide an image retrieval method and system based on the area similarity of probability histogram, which can start from the essence of color histogram image retrieval, and use the overlapping area of gray-scale probability between histograms as the similarity between images. Degree, clarify the meaning of similarity, improve robustness, and then improve retrieval efficiency and accuracy.
[0065] In order to...
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The invention discloses an image retrieval method and system based on probability histogram area similarity. The method comprises the following steps: processing a remote sensing image to determine aplurality of target image sets and an image set to be retrieved; processing the target image set and the image set to be retrieved to obtain the target probability histogram set and the probability histogram set to be retrieved; calculating a coincidence value of a gray level probability histogram to be retrieved in an image set to be retrieved and a gray level probability histogram of each targetin each target probability histogram set, obtaining a plurality of coincident value sets, determining the average value of the sum of all elements in the coincident value set as the similarity between the image to be retrieved corresponding to the gray-scale probability histogram and the target image set corresponding to the target probability histogram set to be retrieved, and classifying the image to be retrieved into the target image set with the highest similarity with the image to be retrieved. The method or system provided by the invention defines an image retrieval similarity index andimproves retrieval efficiency and accuracy.
Description
technical field [0001] The invention relates to the technical field of image retrieval, in particular to an image retrieval method and system based on probability histogram area similarity. Background technique [0002] As an important feature of the target, color is often closely related to the identity of the target, and image retrieval using color information has become an inevitable choice. Using image color retrieval means that given a query image, it is necessary to find an image with a similar color distribution from the image database, that is, when the similarity between two images is greater than a set threshold, the two images are considered to be of the same type. [0003] The color histogram image retrieval method is an important image retrieval method based on color features, which has the characteristics of simple feature extraction and similarity calculation, and is insensitive to changes in image scale and rotation. At present, John Zachary proposes to use ...
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IPC IPC(8): G06F16/583G06T5/40G06T7/11
CPCG06T5/40G06T7/11
Inventor 朱爽李长青任凤国崔有祯桂维振赵小平
Owner BEIJING POLYTECHNIC COLLEGE