Segmenting and recognizing method of image frame of data stream and apparatus thereof

A technology for segmentation recognition and image frames, applied in image communication, character and pattern recognition, television, etc., can solve the problems of large amount of calculation, low recognition rate, missing data, etc., to save processing time, improve recognition rate, and ensure recognition speed effect
CN101308543AInactive Publication Date: 2008-11-19ZHONGRONG TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHONGRONG TECH
Publication Date
2008-11-19
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a division identification method and a device for data flow image frames, comprising the following steps: first, to preprocess the currently received data packet, and to store the corresponding image data acquired after the preprocessing of the data packet and the markers of the image data into a cache for accumulation; second, when the accumulation reaches a preset degree, to determine whether the image data accumulated in the cache forms an initial image identification region, and if so, then to identify the pattern of the image data in the initial image identification region. The invention avoids one-frame image restructuring of the received data and saves the data processing time, as well as dispenses with the pattern identification process of the needless image data, so as to ensure the identification speed; when processing high-pixel images, on the basis of ensuring the image identification quality, the invention can improve the identification rate to avoid data loss due to data accumulation.
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Description

technical field

[0001] The invention relates to the field of video pattern recognition algorithms, in particular to a method and device for segmenting and recognizing data stream image frames. Background technique

[0002] Usually the basic flow of the video pattern recognition algorithm is: find the positioning area in a frame of image, segment the picture, extract features, compare patterns, and output the results. Specifically, firstly, locate the recognized area in a frame of image, then segment the graphic objects in the area, extract the features of the graphic objects, and then use the comparison method to confirm. It can be seen that this algorithm has high requirements on the original image, and the algorithm is complex, and the recognition algorithm needs to perform repeated analysis operations on at least one frame of image, locate the object, and then perform recognition.

[0003] Usually, according to the visual requirements of the human eye, the imaging part o...

Claims

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