Field video image real-time segmentation system and method based on FPGA

Abstract

The invention belongs to the technical field of field crop growth information processing, and discloses a field video image real-time segmentation system and method based on an FPGA, and the method comprises the steps: carrying out the change of the structure of an image segmentation algorithm suitable for a hardware environment, adding data and an assembly line instruction, and enabling the imagesegmentation algorithm to adapt to an application scene of real-time image segmentation; designing each module of an image acquisition and display system, and establishing a video path based on a camera; and achieving field video image segmentation in combination with processes of field plant ultra-green feature extraction, a Canny edge detection algorithm, median filtering and threshold segmentation and FPGA hardware development. According to the system and method, rich register resources and pipeline structures are provided, a large amount of image data can be processed in real time, and the image processing speed is greatly improved; the development board used in the invention is lower in cost, small in size, low in power consumption and more suitable for complex field working environments.

Description

technical field [0001] The invention belongs to the technical field of field crop growth information processing, and in particular relates to an FPGA-based real-time field video image segmentation system and method. Background technique [0002] Currently, the closest prior art: [0003] At present, computer technology has been applied in various fields of life. Agricultural informatization is the trend of global agricultural development in the 21st century and the basic guarantee for agricultural modernization. In the field of agriculture, it has become more and more popular to use image processing and machine vision technology to identify, analyze and process images of farmland crops. Image segmentation is a key step in the image processing process, and it can guide the subsequent image processing and analysis. Therefore, the edge detection of video images has been one of the classic research topics in the field of digital image processing. Digital images have been wid...

AI Technical Summary

Problems solved by technology

For some algorithms whose real-time requirements are millisecond-level, it is difficult for traditional software platforms to complete the corresponding calculations within the specified time

[0013] Moreover, the existing technology does not combine the register resources and the pipeline structure of the FPG. For the image of the field crop growth process, it cannot be segmented in real time when the accuracy is improved, and the speed of image processing cannot be greatly improved, resulting in the inability of the real-time operation of the agricultural robot. Adapt to field work environment

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