Parallel analysis method based on fluid motion vector field

Abstract

The invention provides a parallel analysis method based on a fluid motion vector field. The method comprises the following steps of decomposing each image of an image sequence into several small areas with a same size; constructing a gray scale distribution matrix; acquiring an initial motion vector field of the image sequence in a parallelization mode; through a new smoothness constraint term, carrying out parallelization processing denoising on the initial motion vector field; through a new energy constraint function, carrying out parallelization processing optimization on the denoised motion vector field; and acquiring a main direction motion vector containing a fluid motion image sequence. By using the fluid motion vector analysis method, an energy optimization technology is combined and a single-instruction multi-thread SIMT characteristic of a graphic processor GPU is used so that a fluid analysis is converted into a parallel state from a serial state; parallelization processing to the image is realized; performance and efficiency of image processing are increased; image processing precision is greatly increased and time for a system to process the image sequence is reduced.

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to a parallel analysis method based on fluid motion vector field. Background technique [0002] In the process of image motion analysis, there are generally two analysis methods: optical flow analysis method and motion vector analysis method. The optical flow analysis method mainly represents the geometric change, and uses the motion change of the pixel intensity value between image sequences to determine the motion change of each pixel in the image, and constructs the motion vector of each pixel in the image; motion vector analysis The method mainly aims at the transformation of the uniform corresponding points between two adjacent frames of images to obtain the motion vector of each pixel, so as to construct a running vector field. [0003] Traditional image sequence processing uses the motion vector analysis method or optical flow analysis method to initialize the representation...

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Problems solved by technology

[0006] In order to overcome the problems of low processing efficiency and low precision in the process of processing fluid motion image sequences in the existing image sequence processing methods, the present invention proposes a parallel analysis method based on the fluid motion vector field, using the existing morphology Matrix and image sequence gray values ​​construct a gray distribution matrix (Gray Distribution Matrix, referred to as GDM), improve the accuracy of the basic information of the image; improve the denoising algorithm, optimize the gray distribution matrix; improve the energy constraint function, realize New energy-constrained optimization; utilizes the Single Instruction Multiple Threads (SIMT) feature of the Graphic Processing Unit (GPU) to convert the analysis of images containing fluid motion from serial processing to parallel processing processing, which improves the performance, efficiency and accuracy of image processing, and also reduces the time for the system to process image sequences

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