Device for real time quick realizing Gauss formwork convolution

Abstract

The invention provides a machine vision inspection technology, related to the improvement about the device of Guass template convolution. It includes image sensor 1, the register group of the list convolution coefficient 2 and the register group of the line convolution coefficient 3. Its character lies in that it consists of address generator 4, line register group 5, list data combination circuit 6, list convolution circuit 7, serial shift register group 8, line data combination circuit 9 and line convolution circuit 10. The present invention reduce the memory capacity of the template and the use of logical resource; fulfill the big template Guass convolution at real-time by the parallel and pipelined approach; greatly improve the velocity of Guass template convolution.

Description

technical field [0001] The invention belongs to the machine vision detection technology, and relates to the improvement of the Gaussian template convolution realization device. Background technique [0002] Gaussian convolution is a linear image smoothing filtering process. Its convolution template is a linear template, which can directly calculate the template weight from the two-dimensional zero-mean discrete Gaussian function. The expression from the two-dimensional zero-mean discrete Gaussian function is as follows: , [0003] g ( x , y ) = e - ( x 2 + y 2 ) 2 σ ...

AI Technical Summary

Problems solved by technology

Although some people are studying its fast algorithm, such as the recursive method for Gaussian kernel convolution, none of them can be realized in real time, which greatly affects the real-time application of the algorithm in machine vision.

When using a parallel implementation device (such as FPGA), if the algorithm is not improved, because the template is relatively large, the implementation process is also a very logical resource-consuming process, and the amount of calculation is also very large, which will greatly affect the speed of algorithm implementation.

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