Dissertation > Excellent graduate degree dissertation topics show

Imagery Processing Technology in Slope Protection Vegetation Root System Monitor Applied Research

Author: ZhuXiaoLi
Tutor: SongWenLong
School: Northeast Forestry University
Course: Control Theory and Control Engineering
Keywords: The vegetation solid slope Image processing Edge Detection Grey System Theory Edge detection processing Root morphology parameters
CLC: TP274.4
Type: Master's thesis
Year: 2009
Downloads: 88
Quote: 2
Read: Download Dissertation

Abstract


The vegetation on slope reinforcement scale applications in recent years a slope reinforcement technology, it is the use of vegetation the culvert water solid soil principle stable slope control slope erosion, erosion control, the use of plant root reinforced soil, at the same time play the effect of protecting the ecological environment. Vegetation on slope reinforcement method is widely used in slope governance in recent years, so that both the slope greening and the reinforcement of the role. Slope Vegetation around the slope reinforcement plant species selection and cultivation methods and the use of macro-testing means to evaluate slope reinforcement effect of different types of plants two aspects. But such traditional methods can not yet solve reinforcement mechanism of the plant, the positive effect of vegetation on slope reinforcement accurate evaluation. This paper is a digital image processing technology used in an attempt to monitoring of slope reinforcement vegetation root. In the early use of array distribution the peep-image means to obtain the solid slope vegetation growth process of root rhizosphere physical form factor of the image information based on a series of related processing image information acquired solid slope vegetation root, such as processing the image, according to the method of image preprocessing, gray system theory, detected the outline of the edge of the slope vegetation root, and on this basis were extracted from the root length, root diameter root morphology parameter values ??for the ultimate realization of the vegetation rhizosphere microscopic physical environment is setting out to explore the vegetation on slope reinforcement mechanism to provide some data to support. In this thesis, a more systematic study in image pre-processing, post-processing the image edge detection and edge detection. Link in the image preprocessing, this paper analyzes some of the traditional methods of image enhancement, and to choose the most suitable method of the system; edge detection link use the edge contour of the slope vegetation root systems to extract the gray correlation algorithm based on gray system theory and traditional edge detection operators are compared, the results show the gray relational algorithm to extract the edge of the root image and better noise immunity than other operators, test to verify the feasibility of the method in the slope vegetation root image edge detection ; edge detection processing chain, the main use of image refinement method based on mathematical morphology filter out the noise, and to cut off the short burr to fill holes and pits connection breakpoint, and enhance the visibility of the image and accurate sex; This paper each step through the above process, provide more quality roots image, so that at a later stage of the calculation of the parameters of root architecture.

Related Dissertations

  1. Research on Temperature Measurement Technique Based on CCD Image Sensor,TH811
  2. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  3. Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
  4. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  5. The Research of Moving Object Tracking System Based on Embeded Image Process Unit,TP391.41
  6. Research on Visual Servo System of Mechanical ARM,TP242.6
  7. Application Research of Digital Image Processing on Container Inspection,TP274.4
  8. Three-Dimensional Numerical Modelling for the Head and the Electric Field Analysis of DBS,R742.5
  9. Application of Semi-Structure in Leisure Dress,TS941.2
  10. Studies on Key Planting Skills of Cigar-Wrapper Tabacco,S572
  11. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  12. Research on Detecting Optical Fiber Geometric Parameter Based on Machine Vision,TN253
  13. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  14. Design of Garlic Planting Sorting Machine Based on Image Processing,S223.2
  15. Study on Detection and Grading of ’Jiro’ Persimmon’s External Quality Based on Computer Vision,S665.2
  16. Flow Behavior Description of Two-Phase Flow Based on Image Processing Techniques,TP391.41
  17. Active faults based radar image information extraction method applied research and demonstration,P542.3
  18. Research on Abnormal Vehicle Behavior Detection and Application in Traffic Video,TP391.41
  19. Research on License Plate Location Algorithm of License Plate Recognition System,TP391.41
  20. The Designing of HD Vehicle Detection System Based on Fpga,TP391.41
  21. 3D Body Measurement Systems of the Apparel Based on Incomplete Data,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system > Centralized testing and roving detection system
© 2012 www.DissertationTopic.Net  Mobile