Detection of oil seeping using k-means clustering
Color image segmentation has been the hotspot for the researchers in the image processing field. Color image segmentation using the k-means clustering algorithm has yielded fruitful results. An advantage resulting from the choice of color space representation could be taken to enhance the performance of segmentation processes. The amount of information contained in the segmented objects is adopted as a measure to determine the segmentation rule. Detection of oil seeping using k-means clustering In this project the segmented object is an oil seeped area in sea surface. Here we segment all regions in a naturally captured image of sea surface and the segmented image can be used for further analysis like amount of affected area, counting affected area in large surface. Our proposed system is simulated and implemented using Matlab R2013a.