Dissertation > Excellent graduate degree dissertation topics show

The Application Research of Image Processing in the Urban Architectural Color Analysis and Evaluation

Author: BaiYu
Tutor: WangXiuJin
School: Tianjin University
Course: Software Engineering
Keywords: Chromatics Graph Theory GraphCut GrabCut HSI K-means
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 80
Quote: 2
Read: Download Dissertation

Abstract


Architectural color for a modern city is an important part of the urban environment , it is a city 's overall style , historical context , ethnic traditions , regional culture , ecological environment , the quality of the people , the spirit of the times , a comprehensive reflection . In today 's rapid development of technology , the computer image processing technology and urban planning ingenious architectural color combination makes the application of computer technology in the field of architecture and related development . In this paper, the color disciplines method of color analysis , the architectural color analysis based on computer image processing technology . Include the following : The first chapter describes this research question the background , the purpose and significance of the research , and this paper research ideas and research methods . The second chapter outlines several classic segmentation method this stage the field of image segmentation . The third chapter describes the highlights and achieve the GraphCut and GrabCut algorithm based on graph theory , image segmentation technology , and the two split effect compared . Chapter HSI space using an improved K-means clustering algorithm , this paper apply to a background color difference formula based on the characteristics of the HSI color space , and the positional relationship between the judge carved out of blocks of color . Chapter color analysis methods in the field of color science , the use of computer technology to establish the color analysis and evaluation of the model , and the color of the building after the completion of the building surface color segmentation , distribution analysis and evaluation . Chapter analysis results are summarized , and raised the outlook for future work . Proved by experiments , the method used in this paper can be effectively applied to the analysis of the architectural color , so as to provide a convenient , efficient urban planning basis .

Related Dissertations

  1. Research and Improvement on K-Means Clustering Algorithm,TP311.13
  2. The Research of "Ant Group" Phenomenon in the Harmonious Society,D669.5
  3. BF-FCM Clustering Algorithm and Its Application in the Image Segmentation,TP391.41
  4. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  5. Research on K-means Optimization Clustering Algorithm,TP311.13
  6. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  7. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  8. A Snoring Detector for OSAHS Based on Formant,R766
  9. Evolutionary Clustering Algorithm and Its Application,TP311.13
  10. On the Crime and the boundaries of the crime of endangering public safety by dangerous means,D924.3
  11. Research on Capital Management in Current Chinese Universities,G647.5
  12. Web Usage Mining and the Research of Personalized Recommendation,TP311.13
  13. Segmentation of cDNA Microarray Image Using Fuzzy C-means Algorithm Optimized by Particle Swarm,TP391.41
  14. Research and Application on Short Message Text Clustering,TP391.1
  15. Research and Software Development on the Basis of the Graph Theory in Road Alignments Modeling,U412.33
  16. Dynamic Spectrum Allocation Algorithm Research in Wireless Sensor Networks,TP212.9
  17. Research of Image Segmentation in Web Image Search Based on GPUs,TP391.41
  18. Research on Spectrum Allocation Technology of Cognitive Radio,TN925
  19. Library management system of personalized service Design and Implementation,TP311.52
  20. Target Tracking Based on Particle Filter Algorithm and DirectShow realized,TP391.41
  21. Images and image sequences on interactive matting technology research,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