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A FORMAL LANGUAGE APPROACH FOR DETECTING TEXTURE PATHS AND PATTERNS IN IMAGES

Patil, Prithviraj S

Abstract Details

2006, Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering.
This Master thesis considers the use of formal languages representation for image processing, especially texture patterns and determining texture paths in them. The texture paths are detected and extracted by using image processing techniques, such as image segmentation to isolate regions of interest, and then the extraction of repeating textures. The detection of the texture blocks is obtained by recursively using 27 X 27, 9 X 9, and 3 X 3 windows. Predefined repeating texture patterns are also searched for in each of the sets. For each set of texture blocks with similar or same characteristics, curve fitting techniques are used for association of patterns with the texture. The selected curve is split into straight line segments, and the pattern is finally represented using the defined context-free formal language methodology. Results are shown for various color images.
Nikolaos Bourbakis (Advisor)
70 p.

Recommended Citations

Citations

  • Patil, P. S. (2006). A FORMAL LANGUAGE APPROACH FOR DETECTING TEXTURE PATHS AND PATTERNS IN IMAGES [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1161611535

    APA Style (7th edition)

  • Patil, Prithviraj. A FORMAL LANGUAGE APPROACH FOR DETECTING TEXTURE PATHS AND PATTERNS IN IMAGES. 2006. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1161611535.

    MLA Style (8th edition)

  • Patil, Prithviraj. "A FORMAL LANGUAGE APPROACH FOR DETECTING TEXTURE PATHS AND PATTERNS IN IMAGES." Master's thesis, Wright State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1161611535

    Chicago Manual of Style (17th edition)