Accelerating circuit of 3*3 convolution algorithm

Abstract

The invention discloses an accelerating circuit of a 3*3 convolution algorithm, comprising a DDR module, a convolution result FIFO module, a main state machine control module, a shift selection control module, a row buffer module and a convolution calculation module. A main control module performs burst read on pixel data of current two adjacent rows of an input image from a pixel storage array through an AHB bus interface, controls the parallel shift of the pixel data in the shift selection control module so that the pixel data written in the convolution calculation module each time and the corresponding convolution kernel data are subjected to convolution operation, writes an operation result of the pixel data of the current two adjacent rows in the convolution calculation module into aconvolution result storage array through an AHB bus, then, reads the pixel data of the next row through the AHB bus, performs corresponding shift and convolution operations until all pixel data of theinput image are processed, and sends an interrupt to inform the CPU of a result of convolution operation processing so as to reduce the software instruction overhead.

Description

technical field [0001] The invention relates to the technical field of machine vision detection, in particular to an acceleration circuit of a 3*3 convolution algorithm. Background technique [0002] At present, when the sweeper uses video images for map construction and positioning, it needs to preprocess the image data collected by the camera through a set of image processing algorithms, such as image filtering, image noise removal, image feature enhancement, image Smoothing, etc. [0003] In the field of existing machine vision technology, window processing is a common processing in image processing. Commonly used window processing includes morphological operations, blur filtering, Gaussian filtering, etc. Among them, the convolution algorithm is widely used. However, the convolution algorithm requires software to read in, cache, calculate, and then write out the image data, which consumes a lot of software instructions and occupies a lot of software resources, resulti...

AI Technical Summary

Problems solved by technology

However, the convolution algorithm requires software to read in, cache, calculate, and then write out the image data, which consumes a lot of software instructions and takes up a lot of software resources, resulting in inefficiency

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