Survey Paper | Electronics & Communication Engineering | India | Volume 7 Issue 6, June 2018
Image Segmentation: A Survey
Neelesh Singh Rajput, Shalini Sahay
Image segmentation has always been an important topic in the field of image processing and it has a wide application on various fields like object detection, classification, edge detection, medicals fields, face detections etc. Main goal in image segmentation is to find the set of pixel or otherwise known as Super pixels in terms of different characteristics of pixels. In this paper, we are going to discuss some of the image segmentation techniques using various methods like Fuzzy C-Means (FCM) Clustering, Discrete Wavelet Transformation (DWT), Back Propagation algorithm based Neural Network and Image Histogram Analysis. Some papers also based on some hybrid approaches to enhance accuracy than that of traditional methods. In the end, we will compare all the methods to find a novel approach for image segmentation.
Keywords: Image Segmentation, Fuzzy C-Means FCM Clustering, Neural Network NN, Discrete Wavelet Transformation DWT
Edition: Volume 7 Issue 6, June 2018
Pages: 1372 - 1376
How to Cite this Article?
Neelesh Singh Rajput, Shalini Sahay, "Image Segmentation: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20183529, Volume 7 Issue 6, June 2018, 1372 - 1376
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