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Dynamical Multi-threshold Template Created and Application on DSP Image Processing

Author: ZhaoZuo
Tutor: LiXinChun
School: Liaoning Technical University
Course: Communication and Information System
Keywords: image processing fuzzy cotrol dynamic multi-threshold mapping Coordinate DSP
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 39
Quote: 0
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Abstract


In traditional classroom intelligent lighting management system,there are many defacts of misjustice,false open of lights,cann’t meet the requirements of accuracy and real-time. This paper puts image processing technology into the intelligent illumination system,presents a classroom intelligent illumination system based on the TI DSP processor of high performance.Account of real-time requirements of the system,according to the classroom illumination and the number of students,the system fuzzy controls the lights on and off.This paper introduces the design and implementation of the intelligent lighting control system in detail,this introduce is organized into three parts:the first on image processing technology,proposes the establishment of dynamic multi-threshold templ- ate theory,experimental research on this theory,analysis and implementation.Then discusses the hardware structure and the module of principle.Finally applies the theory of establishing dynamic multi-threshold template to classroom intelligent illu- mination controlled system to implement image processing algorithm.In the end, this paper tests the image processing and identify method in the platform which based on DM6437, the results show that the theory of establishment dynamic multi-threshold template is correct,and image processing algorithms used is excellent.The system plays the advantages of DSP,and realizes image processing and recognition accurately and quickly.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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