Contour Detection Stability Judgment Method and Image Retrieval Method

Abstract

The invention discloses a contour detection stability judging method. The contour detection stability judging method is characterized by judging the contour detection stability according to the contour integrity of detected continuous multi-frame target objects and the position stability of comparison top points selected from contours. The contour detection stability judging method has the advantage of solving the problem of instable contour detection caused by hand vibration during a mobile terminal using process by a user. The invention also discloses an image searching method. The image searching method is characterized by firstly carrying out the contour detection of the target objects and judging the contour detection stability before carrying out image search, capturing a target gray image in the contours of the target objects which are judged to be stable, and uploading the target gray image to an image searching server side for carrying out the image search based on content. The image searching method has the advantages that the influence on an image searching result due to the image background is reduced, and the searching accuracy degree is increased. The contour detection stability judging method and the image searching method, disclosed by the invention, are particularly suitable for the filed of mobile cloud image search.

Description

technical field

[0001] The invention relates to the field of image processing, in particular to a method for judging the stability of contour detection applied to mobile terminals, and an image retrieval method using the method for judging the stability of contour detection. Background technique

[0002] There are two types of image retrieval: text-based and content-based. At present, image retrieval provided by most search engines is text-based retrieval, that is, free word retrieval is performed based on external image information or artificially marked keywords. Text-based image retrieval needs to associate images with text. Obtaining image retrieval results, the retrieval accuracy is greatly affected by keywords, and the visual features (color or texture, etc.) contained in images often cannot be described objectively in text, and differences in subjective understanding will lead to mismatches in image retrieval mistake. At the same time, the establishment of the datab...

Examples

Embodiment Construction

[0028] 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 creative efforts fall within the protection scope of the present invention.

[0029] The inventors of the present application found that: in the existing content-based mobile image retrieval, the scene images collected by the camera module of the mobile terminal are directly uploaded to the retrieval server for image retrieval. This method not only has a large amount of data, but also requires high network bandwidth. , and what is more serious is that when the camera module collects the image of the target object, it often collects the backgr...

technical field

[0001] The invention relates to the field of image processing, in particular to a method for judging the stability of contour detection applied to mobile terminals, and an image retrieval method using the method for judging the stability of contour detection. Background technique

[0002] There are two types of image retrieval: text-based and content-based. At present, image retrieval provided by most search engines is text-based retrieval, that is, free word retrieval is performed based on external image information or artificially marked keywords. Text-based image retrieval needs to associate images with text. Obtaining image retrieval results, the retrieval accuracy is greatly affected by keywords, and the visual features (color or texture, etc.) contained in images often cannot be described objectively in text, and differences in subjective understanding will lead to mismatches in image retrieval mistake. At the same time, the establishment of the datab...

Examples

Embodiment Construction

[0028] 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 creative efforts fall within the protection scope of the present invention.

[0029] The inventors of the present application found that: in the existing content-based mobile image retrieval, the scene images collected by the camera module of the mobile terminal are directly uploaded to the retrieval server for image retrieval. This method not only has a large amount of data, but also requires high network bandwidth. , and what is more serious is that when the camera module collects the image of the target object, it often collects the backgr...

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