Dissertation > Excellent graduate degree dissertation topics show

Biological Cell Image Processing Using PCNN and Rough Set Theory

Author: LinDongMei
Tutor: MaYiDe
School: Lanzhou University
Course: Circuits and Systems
Keywords: Digital Image Processing Pulse Coupled Neural Networks Rough set theory Image Enhancement Multifocus image fusion Multiple Digital Watermarking
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 142
Quote: 2
Read: Download Dissertation


Pulse Coupled Neural Network (PCNN) has a biology background , rough set theory has a good ability to be classified according to the characteristics of things , the combination of the two , the unparalleled advantage of other methods used in digital image processing . This thesis analyzes the PCNN and rough set theory combined feasibility used in image processing , and for biological cell image processing problems , attempt to complete the following work : 1 . Background lighter areas . darker areas contain more target details , serious pollution by noise , and low contrast images of biological cells , enhance the new algorithm is proposed based on PCNN Timed matrix and the image of the rough set theory . To the experimental results , the algorithm can effectively improve the image contrast , and better enhancement ; can also effectively suppress noise , preserving image detail , image enhancement is better than the traditional method . Defects for imaging equipment and imaging principle combined PCNN with rough set theory proposed the multifocus plant cell image fusion method . The experimental results show that the algorithm in terms of objective performance or visual effects have a clear advantage, and has a good anti-noise performance , can effectively preserve the image edge , texture , and other details , clear fused image . The algorithm is simple and easy to implement . 3 . Analysis of the need for copyright protection of biological cell image , proposed a new space-frequency domain combined dual digital image watermarking algorithm for biological cell image watermark processing . The simulation results show that the algorithm has good invisibility and robustness , it is a feasible and effective digital image watermarking algorithm .

Related Dissertations

  1. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  2. Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
  3. Research on Visual Servo System of Mechanical ARM,TP242.6
  4. Application Research of Digital Image Processing on Container Inspection,TP274.4
  5. Technology of Blood Vessel Diameter Measurement Automatic Based on Digital Image Processing,R310
  6. Flow Behavior Description of Two-Phase Flow Based on Image Processing Techniques,TP391.41
  7. Research on Pressure Sensed Fingerprint Identification System and Algorithem,TP391.41
  8. System Designing to Analysis the Real-time Density of Group-control Elevator Passengers Flow,TP391.41
  9. Research of Image Enhancing of Vein Based on Fuzzy Theory,TP391.41
  10. The Gray Image Processes Techology of Sediment Core and Its Application on the High Resolution Sediment Record in Inner Shelf of the East China Sea,P736.21
  11. Study of the Evaluation on the Homogeneity of Dielectric Barrier Discharges Basing on Digital Image Processing Technology,TP391.41
  12. Noise Analysis and Image Processing of CMOS Image Sensor,TP212
  13. Research on Pavement Crack Detection Algorithom Based on Digital Image Processing,TP391.41
  14. Research on Pavement Crack Detection Algorithm,TP274
  15. The image -based face recognition system design and implementation beautification,TP391.41
  16. Study on the Decision Tree Classification Algorithm and Its Application Based on Rough Set Theory,TP18
  17. Low temperature detection of arcing contacts,TM572
  18. Image intensifier and a screen resolution of defect detection technology,TN144
  19. Model based on visual characteristics and image enhancement algorithms and performance analysis,TP391.41
  20. Based mixture compaction properties of asphalt pavement compaction,U416.217
  21. Border infrared monitoring system design moving target detection warning,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