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@article{186196,
        author = {Jaspreet Kaur},
        title = {Analysis and Development of Color Edge Detection Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1714-1718},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186196},
        abstract = {Edge detection is a process to finding meaningful transactions in an image which are the important research task in the field of image processing. Edge detection is to identify area of an image where a large change in intensity occurs. Edge representation reduces the amount of data to be processed, preserving the important information about the shapes of objects. Color images provide more edge information as compared to gray scale images. The number of researchers has proposed various algorithms for color edge detection. The output of color images is different from gray scale images. Results of the edge detection of a color image vary for different color edge detection techniques. The results also differ if the same technique is applied across different color spaces. There are many color spaces like HSV, RGB, L*a*b*, YIQ, YUV. The focus of this research paper is to analyze the various color edge detection techniques in different color spaces (RGB, HSV, L*a*b*) and compare the results.},
        keywords = {Keyword – Edge Detection,Color spaces (RGB,HSV,L*a*b*).},
        month = {November},
        }