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@article{153675,
        author = {Dr.Sharanabasava Inamadar},
        title = {SURVEY PAPER ON COMPARISON OF IMAGE SEGMENTATION ALGORITHM TECHNIQUES},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {8},
        pages = {204-212},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153675},
        abstract = {Image segmentation refers to the process of partitioning a Digital image into multiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. In this survey paper we will compare the sobel, laplician and canny edge detection algorithm.},
        keywords = {Smart Stick, Arduino Uno, Location Tracking, Sensors, Object Detection

},
        month = {},
        }