Dissertation > Excellent graduate degree dissertation topics show

An Analysis of Image Segmentation Based on Otsu Method and Mathematic Morphology

Author: XueWeiPeng
Tutor: GaoLiQun
School: Northeastern University
Course: Navigation,Guidance and Control
Keywords: image segmentation otsu method mathematic morphology threshold
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 93
Quote: 1
Read: Download Dissertation

Abstract


Image segmentation is one of the basic and important techniques in computer vision, and it is a pivotal technique in image process, analysis and image engineering. The study on the image segmentation is always one of the key points in the image segmentation technique study, many image segmentation algorithms are advanced, and it is widely used in computer vision pattern recognition and medicine image processing.Threshold image segmentation method is in common use in the image segmentation. It distingusihes the image into objects and background by picking threshold, so the threshold picking is the key technique. The Otsu method is often used as one of the threshold image segmentation methods, which is based on histogram, chooses threshold by analysing image gray level information. But this method is ineffective when facing complex image, such as image with low SNR or gray level discrepancy and tiny area, the algorithms effect decrease, even occur errors.Aiming at the shortage of Otsu segmentation algorithm, this paper studies different algorithms, focuses on different military objects’infrared image segmentation methods that combine with the Otsu method, and advances a improved method. The new method not only considers the gray information of the image, but the related information of domain space to ensure the accuracy of image segmentation. And then aiming at the hole in the segmentation result, this paper fills the hole with Mathematic Morphology to get the best results.This paper does the experiment with the improved method for the validity, as the result shows, this algorithm is feasible and credible,and gives an ideal image segmentation outcome, and it is more fast and steady than conventional method.

Related Dissertations

  1. Resrarch on Multisignatures and Multisigncryptions from Identity-based,TN918.1
  2. Research on Spread Spectrum Code Acquisition of Double Threshold Based on Sliding Correlator,TN914.42
  3. Performance Analysis of Anti-Multipath Capability in DSSS System and Study on the Compensation Methods,TN914.42
  4. Research on Image Recognition Algorithm in the Forest Fire Prevention System,TP391.41
  5. Application Research of Digital Image Processing on Container Inspection,TP274.4
  6. Study on the Design and Biomechanical Behaviors of Individualized Artificial Knee Joint,R318.1
  7. Based on statistical methods of magnetic resonance imaging of the human brain image segmentation and three-dimensional analysis of the data,R445.2
  8. Road extraction algorithm based on region segmentation of remote sensing image,TP751
  9. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  10. Citrus Image Segmentation Based on Genetic Algorithm,TP391.41
  11. Macroinvertebrate Assemblages and Its Application in the Water Management,X824
  12. Bioavailability of Phthalic Acid Esters in Different Types of Soil-plant Systems,X53
  13. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  14. BF-FCM Clustering Algorithm and Its Application in the Image Segmentation,TP391.41
  15. Differences in different populations compared proprioception and Brain Mechanisms,B845
  16. Subliminal subliminal anxiety of material of different emotional cues students Inhibition of Return,B842
  17. Mobile WSN data collection based on the virtual cluster head Strategy,TP212.9
  18. Study of High Resolution Image Road Extraction Method Based on Morphology Strategy,TP751
  19. Research on Face Detection Based on Skin Color Segmentation and AdaBoost Algorithm,TP391.41
  20. Extraction Algorithm Research of Phase-change Line from Complex Phase-change Thermography Sequence,TP391.41
  21. The Research of Key Techniques on Computer-Aided Planning before Liver Transplantation,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