원문정보
초록
영어
Using color linear array CCD (Charge Coupled Device) to collect the information of image has an important meaning in the research of the machine vision processing. It now becomes the focus of study on CCD image acquisition using FPGA (Field Programmable Gate Array) to implement color linear array CCD-driven design. The image acquisition and processing of the rice color sorter as the research background in this paper, by using FPGA to achieve the color linear array CCD driven control, as well as simulated with Quartus II 8.0. In order to be able to extract the color linear array CCD output useful information of the color images, through study the RGB model and the HSI (Huge, Saturation, Intensity) model of color space model, the HSI space mode is selected as the color image processing space model, and design the suitable algorithm-FCM (Fuzzy C-Means) clustering algorithm in HSI space for color image segmentation, through a fuzzy Toolbox in MATLAB to accomplish the FCM algorithm, at the same time, through the simulation realized the FCM algorithm. The simulation shows that the algorithm can segment the image useful information well.
목차
1. Introduction
2. Hardware Design
2.1. The System Framework Design
2.2. The CCD River Module Design
3. Image Process
3.1. The Introduction of Color Space
3.2. Design of the Fuzzy c-means Clustering Algorithm
3.3. Rice Image Enhancement Processing in HSI Space
3.4 Simulation and Verification of Rice Image Segmentation with FCM Algorithm
4. Conclusion
Acknowledgements
References