Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/15274
Title: Comparison of Color Detection Techniques Using Fuzzy Logic System
Other Titles: المقارنة بين تقنيات كشف الألوان بإستخدام نظام المنطق الغامض
Authors: yagoub, Manahil AbdelFatah yousif
Supervisor,- Alaa Eldin Awouda
Keywords: Network Engineering
Computer Engineering
Fuzzy Logic System
Color Detection
Issue Date: 10-Nov-2016
Publisher: Sudan University of Science and Technology
Citation: yagoub, Manahil AbdelFatah yousif . Comparison of Color Detection Techniques Using Fuzzy Logic System / Manahil AbdelFatah yousif yagoub ; Alaa Eldin Awouda .- Khartoum: Sudan University of Science and Technology, college of Engineering, 2016 .- 36p. :ill. ;28cm .-M.Sc.
Abstract: Fuzzy logic is the most common way to implement machine learning algorithms, It is been used in this research for color detection and comparison in an image file, using an acknowledged dataset to make the decision between colors of an image and the specified color by comparing the colors of the image with the colors in the Look-up Table (LUT) by the color name of the LUT, the implementation also includes a dominant color detection and RGB to HSV, HSI color spaces conversions, and also 3D histogram representation of an image, the whole project is implemented using MATLAB programming environment by creating a (GUI) based application to load the image selected by user and all the previously mentioned function can be applied to get the results immediately and the results was successfully get as expected.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/15274
Appears in Collections:Masters Dissertations : Engineering

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Comparison of Color... .pdfTitel50.67 kBAdobe PDFView/Open
Abstract.pdfAbstrct136.04 kBAdobe PDFView/Open
Chapter 1x.pdfChapter49.5 kBAdobe PDFView/Open
Chapter 2x.pdfChapter259.61 kBAdobe PDFView/Open
Chapter 3x.pdfChapter93.96 kBAdobe PDFView/Open
Chapter 4x.pdfChapter1.21 MBAdobe PDFView/Open
Chapter 5x.pdfChapter49.85 kBAdobe PDFView/Open


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