Multimed Tools Appl https://doi.org/10.1007/s11042-018-6125-z Analysis of rain fall and the temperature of Coimbatore District using land use and land cover change detection by image segmentation V. Kalpana Received: 6 March 2018 /Revised: 6 April 2018 /Accepted: 8 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Image segmentation is a process has done for the classification of high resolution remote sensing images in the present research work. The segmentation results are capable of influencing the subsequent process effects. An image can be partitioned into a number of disjoint segments which is used to represent the image structures. It is found that it is more compact to represent an image and the low level and high structures can be combined. There are different types of methods to segment an image namely, threshold-based, edge-based and region-based. Region growing approach is image segmentation methods in which the neigh- boring pixels are examined and merged with the class region in case of no edges are detected. The iteration is done for every pixel boundary. Unlike gradient and Laplacian methods, the edges of the region are found by the region growing and it is perfectly their region. The images are determined
Multimedia Tools and Applications – Springer Journals
Published: May 28, 2018
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