Dissertation > Excellent graduate degree dissertation topics show

Grayscale images based on fuzzy clustering feature extraction and recognition

Author: WangEnYong
Tutor: ShiXinLing
School: Yunnan University
Course: Communication and Information System
Keywords: Feature Extraction Histogram Fuzzy Clustering
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 151
Quote: 0
Read: Download Dissertation

Abstract


This paper presents a fuzzy clustering algorithm based on gray-scale image feature extraction method, which can be based on subjective awareness of the image area of interest at any time adjust feature extraction target area . The gray-scale image by clicking the mouse in the area of interest , the computer according to the user 's subjective intention of the extracted feature region histogram and save, and then sequentially scanning all the pixels in the image area , based on fuzzy clustering algorithm, calculate the histogram and saved the degree of similarity between features , and finally meet the requirements of the region is extracted, in order to achieve gray image based on fuzzy clustering method for feature extraction . This paper first describes the characteristics of gray-scale image histogram analysis and fuzzy clustering algorithm steps , and through examples of fuzzy clustering algorithm for image clustering analysis between different areas of application for further study for image feature extraction lay the foundations of mathematics ; later elaborated based on the proposed method of image feature extraction software design , including software flowcharts and key steps to achieve the detailed design ideas ; Finally, a gray-scale image processing example describes the function and use of the software process given different images , different feature extraction parameters and compared the results to verify the proposed feature extraction method is correct and effective.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  3. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  4. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  5. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  6. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41
  7. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  8. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  9. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  10. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  11. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  12. Multi-currency Notes Technology Research and Implementation,TP391.41
  13. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  14. Pavement Distress Recognition Based on Image,TP391.41
  15. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  16. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  17. Based on statistical methods of magnetic resonance imaging of the human brain image segmentation and three-dimensional analysis of the data,R445.2
  18. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  19. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  20. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  21. Research on Identification System of Cashmere and Wool Fiber,TS101.921

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile