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Image processing method and device

An image processing device and image processing technology, applied in the field of image processing, can solve the problem of low real-time performance of target recognition, achieve the effect of solving the problem of computing unit allocation and real-time processing

Active Publication Date: 2021-04-02
BEIJING RES INST OF MECHANICAL & ELECTRICAL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a load-balanced multi-core parallel image processing device and method, and solve the problem of low real-time performance in the existing target recognition process

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  • Image processing method and device
  • Image processing method and device

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Embodiment Construction

[0027] The present invention will be described in detail below in conjunction with specific examples and accompanying drawings.

[0028] An image processing method, the steps are as follows:

[0029] Divide the M floating-point image data to be processed into N parts on average according to the data volume;

[0030] The selection of N is based on the processing device and performance of the processing data. The value of N is greater than 1 and less than or equal to the number of processors of the processing device. The larger the value of N, the faster the calculation speed;

[0031] Perform fixed-point processing on each piece of image data in parallel. In one embodiment, the fixed-point processing of image data refers to multiplying the image data by 10 k , k is the number of digits reserved for floating-point image data according to the precision requirements, and then the digits after the decimal point are discarded;

[0032] Classify each piece of fixed-point processed ...

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Abstract

The invention provides an image processing method and device. The method comprises: equally dividing floating point type image data to be processed according to the data volume, performing fixed-pointprocessing, classifying according to gray levels, obtaining gray level histograms, calculating gray level equal division point thresholds, performing coarse sorting, performing fine sorting, and performing floating point processing to carry out kernel division and rapid sorting on the data, and implementing through an equipartition unit and N processing units, each processing unit comprising a fixed-point unit, a histogram statistics unit, a coarse sorting unit, a fine sorting unit and a floating-point unit, and a certain processing unit further comprising a histogram summary unit and a grayscale equal division point unit. According to the image processing method and device, homogeneous kernel processing of the data can be achieved, the function of the processor is fully utilized, the purpose of rapidly processing the data is achieved, and the real-time performance of the data is guaranteed.

Description

technical field [0001] The invention relates to image parallel computing technology and belongs to the technical field of image processing. Background technique [0002] Sorting algorithm is one of the basic algorithm modules in the field of image processing. Commonly used sorting algorithms include selection sorting, insertion sorting, exchange sorting, merge sorting, quick sorting, etc., and the time complexity is O(nlog 2 n)-O(n 2 ), where n is the amount of data to be sorted, and the time complexity of the algorithm will increase exponentially with the increase of the amount of data. The quick sort algorithm is one of the basic modules of the automatic target recognition algorithm. The data to be sorted is floating-point data with a data volume of about several million. The calculation time is quite large, and the real-time requirements for the automatic target recognition algorithm are very high. , due to the random distribution of data size, it is impossible to direc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/20
CPCG06T1/20
Inventor 李磊任君赵佳佳李娜英张航郑敏
Owner BEIJING RES INST OF MECHANICAL & ELECTRICAL TECH