Dissertation > Excellent graduate degree dissertation topics show

The Study of Medical Image Enhancement Based on Wavelet

Author: SuXiaoZuo
Tutor: GuoZuo
School: Harbin Institute of Technology
Course: Computational Mathematics
Keywords: Denoising Image Enhancement Wavelet Transform Multiresolution analysis Ridgelet transform Curvelet transform
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 113
Quote: 1
Read: Download Dissertation

Abstract


In the field of image processing, image enhancement is a very important aspect of increasing the intelligibility of the image, i.e., some of the characteristics of the image in accordance with the needs of practical application in a targeted manner projecting, is the main purpose of the image intensifier. Breast cancer is one of the tumor calcification and mass characteristics of the image due to the impact of human tissue, light, noise and other factors, is not very clear, direct impact to the doctor by the X-ray image of the diseased tissue and normal tissue identification. In this regard, before the doctor diagnosed the first X-ray image enhancement processing, prominent calcifications and masses in the original image, you can effectively reduce the difficulties caused by the disease diagnosis due to the lack of clarity of picture, thereby reducing misdiagnosis rate. Image enhanced algorithm based on wavelet theory a lot, but these algorithms are focused on the processing of the wavelet coefficients, and obtain details are based on the traditional low-frequency sub-image is further decomposed, this article noted wavelet decomposition high frequency sub-image still there are a lot of details, if the high-frequency sub-image is further decomposed, will be able to extract more details. Based on this, this paper proposes a new medical image enhancement algorithms, will pass the traditional image decomposition method to improve the image decomposition using differential properties of the antisymmetric biorthogonal wavelet bases, to overcome the traditional edge extraction algorithm to calculate large, does not meet the disadvantage of a real-time nature. Aimed at highlighting the calcifications and tumor breast image enhancement, wavelet-based image enhancement algorithms can be enhanced calcifications, tumor characteristics need to have the curve detection capability curvelet transform on its implementation enhancements. Existing curvelet image enhancement methods are basically the same time on the decomposition of each sub-image curvelet transform, curvelet transform is complex and can easily cause blockiness, on the basis of this paper, based on the Radon transform, calculated wavelet enhancement algorithm combine curvelet theory proposed improvements, Qu Bo to detect the edge, to refine the edge with wavelet. Based on Matlab Mammography X-ray image simulation results show that the proposed algorithm has many advantages over other algorithms, such as the calculation of the amount of small, clear image edge contour and texture detail processing, the calcification point between independent, there is no caking and large piece of white.

Related Dissertations

  1. Research on Electromagnetic Acoustic Transducer Detection System Based on FPGA,TH878.2
  2. Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
  3. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  4. Application Research of Digital Image Processing on Container Inspection,TP274.4
  5. Design of Testing Equipment for Electronic Products,TN06
  6. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  7. Characteristics of sensory stimulation evoked,R318.0
  8. Network transmission ROI image coding algorithm,TN919.81
  9. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  10. Feature Extraction Technologies Research and Implementation of 3D Models Based on Wavelet Transform,TP391.41
  11. Research on Pressure Sensed Fingerprint Identification System and Algorithem,TP391.41
  12. An Algorithm on Clustering and Anomaly Detection for Multiple Data Streams,TP311.13
  13. Research on Information Hiding Based on Images,TP309.7
  14. Design and Implication of Image Compression System Based on Wavelet and DM6446,TP391.41
  15. The Study of Vibration Signal Analysis System Based on Wavelet Fractal Theory,TN911.6
  16. Combined DWT Dynamic Data Reconciliation Research and Application,TP274
  17. Traffic Prediction Model Based on Wavelet and Markov,TP393.06
  18. Research of Image Enhancing of Vein Based on Fuzzy Theory,TP391.41
  19. The Study of Image Watermark Base on Discrete Wavelet Transformation,TP309.7
  20. Research on Automatic Picking of First Arrival Based on Wavelet Transform,TP311.52
  21. The Compression and Application of the Brain CT Image,TP391.41

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