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Research on the Detection Method Based on X-Ray for Deserted Wood Connectors

Author: ZhuZuoJun
Tutor: LiuJinHao
School: Beijing Forestry University
Course: Forest Engineering
Keywords: X-ray Genetic Algorithms Mathematical morphology Threshold Image processing
CLC: TP274.51
Type: Master's thesis
Year: 2011
Downloads: 18
Quote: 0
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Abstract


Become increasingly prominent in the timber supply and demand, the recycling of waste wood materials and re-use of imminent, imperative, and has become the main way for our country to make up for the lack of forest resources, and comprehensive utilization of waste wood material conservation of wood resources and wood sustainable industrial development is important. In this paper, the key disciplines of Beijing to build forestry projects, identify and locate abandoned timber connector key technology research and discussion, and the development of a detection system for waste timber connector. First, determine the X-ray detection system's hardware system structure, and introduce the image segmentation algorithm is related to the concept and definition, and focus on discussion of the genetic algorithm threshold value segmentation method as waste wood material connectors detection image segmentation method and a combination of inter-class variance thresholding method and maximum entropy threshold of calculating the threshold to obtain a better segmentation effect. The paper also highlights the use of mathematical morphology in X-ray detection image, For binarization obvious detection image, can get better experimental results by mathematical morphology processing. Finally, the detection image processing to identify and locate, obtained after the value of the specific characteristics of the connecting member in order to save the document form. The thesis is divided into six parts, the introduction of a comprehensive system of waste wood material detection system throughout the development process. The first chapter introduces the purpose and significance of the research, the main content of the research status at home and abroad the subject sources as well as research. Chapter II introduced the overall structure of the detection system, including the principles and methods of X-ray detection, the composition of the hardware system structure. The third chapter first introduces the basic theory of image segmentation, threshold segmentation algorithm. The second focuses on the genetic algorithm theory as well as the realization of image segmentation, the theoretical basis of mathematical morphology binary image morphology in image processing. The fourth chapter describes the connector in the detection image identification method and process. Chapter 5 introduces the overall structure and function of the image processing software modules, and the and detailed experimental image acquisition whole process. Finally, a summary and outlook of the research work of the paper. This paper, based on X-ray of the waste wood material connectors detection technology, the use of image processing methods to operate the detection image, and to verify the correlation algorithm, experimental results are also achieved the desired effect, the paper mentioned algorithm not only applicable to the detection of the connected pieces of waste wood materials, X-ray detection image processing provides a new way of thinking, a good theoretical and practical significance.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system > Automatic detection system using a variety of new technologies > Radiation detection equipment
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