Color Image Morphology Algorithm Research And FPGA Implementation

With the increasing advancement and development of science and technology,information media such as mobile phones and computers have become irreplaceable in people's lives.People's demand for online communication,video and photography has also increased.From the early audio information transmission Developed to the current image and video information transmission,digital image technology has long become an indispensable key technology in many fields.However,with the continuous development of digital image technology,people have gradually found that the traditional software platform-based digital image processing technology can no longer meet the needs of processing speed and processing efficiency,and FPGA has fast computing speed,ultra-low loss,and parallel computing processing.The characteristics of the image processing technology completely compensate for the large amount of data and the cumbersome processing steps in the image processing technology.Moreover,the FPGA is small in size and low in cost,which can fit the size of remote sensing satellites,remote sensing aircraft,alien exploration vehicles,unmanned aerial vehicles,monitoring probes,etc.Where there are special requirements for cost and cost,the introduction of FPGA as a platform for implementing algorithms in digital image technology has not only high academic research value,but also strong practicability and universal applicability.This paper mainly studies the implementation of digital image processing algorithms for color images on FPGA.The hardware implementation platform adopts the zynq7000 series board produced by Xilinx,and uses Verilog language to simulate various functional modules on Modelsim10.7,and on the Vivado2018.2 software platform Complete programming,configuration,synthesis,optimization and debugging,and finally burn to the development board for electrical debugging.1.This paper reproduces the color image adaptive morphology algorithm on FPGA.Traditional morphological processing algorithms are subject to problems such as single structural elements,and the processing effect is not ideal.They often ignore the important feature information of the original image,but the adaptive color image morphology algorithm can better preserve the color and brightness of the original image,etc.Characteristic information,the processing effect is better.Therefore,this paper first implemented the color image adaptive morphology algorithm and the traditional morphology processing algorithm on the software platform.After comparative analysis,it was concluded that the color image adaptive morphology algorithm has a better effect on image processing,and then designed The color image adaptive morphology processing system is designed and implemented on FPGA.The system performs FPGA structural design in the form of area conversion speed,which includes control module,structural element generation module,morphology operation module,integrated output module,etc.By comparing the running time and resource consumption of the color image adaptive morphology processing algorithm on the software and hardware platforms,it is proved that the color image adaptive morphology processing system designed in this paper can greatly improve the processing effect.Improved processing efficiency.2.This paper reproduces the LIP-based adaptive color edge detection algorithm on FPGA.In actual image processing,the LIP model can prevent the pixel data from exceeding the defined interval during calculation,and improve the accuracy and visual perception of image processing.In this thesis,the LIP-based adaptive color edge detection algorithm is implemented on the software platform through the combination of the Cordic algorithm and the improved Sobel edge detection operator,and the LIP-based adaptive color edge detection algorithm and the traditional color image edge detection algorithm are implemented.The comparison of the results verified that the LIP-based adaptive color edge detection algorithm processing effect is relatively more delicate and bright,and the retained color information is more sufficient.Then based on the FPGA hardware platform design,the LIP-based adaptive color edge detection system is implemented,which includes the control module,the data window generation module,the LIP module,the edge detection module,the integration and display module,etc.,by comparing the LIP-based adaptive color The running time and resource consumption of the edge detection algorithm on the software and hardware platforms prove that the LIP-based adaptive color edge detection system designed in this paper can not only effectively detect the edges of color images,but also the processing time is significantly reduced.high efficiency.