The week's pick
Reseach Article
Remote Sensing Image Segmentation using OTSU Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 12 |
| Year of Publication: 2019 |
| Authors: CH. V. V. S. Srinivas, M. V. R. V. Prasad, M. Sirisha |
10.5120/ijca2019918885
|
CH. V. V. S. Srinivas, M. V. R. V. Prasad, M. Sirisha . Remote Sensing Image Segmentation using OTSU Algorithm. International Journal of Computer Applications. 178, 12 ( May 2019), 46-50. DOI=10.5120/ijca2019918885
Abstract
In recent years, extraction of information from remote sensing images is an active topic of research. Feature extraction from an image is performed by image segmentation by dividing the image into distinct and self-seminar pixel groups. In remote sensing images, large quantity of texture information is present. So, it is difficult and time consuming process to segment objects from the background in remote sensing images. Many algorithms have been proposed for the purpose of segmentation of remote sensing images. Thresholding is a simple technique but effective method to separate objects from the background. A commonly used method, the Otsu method, improves the image segmentation effectively. It is the most referenced thresholding methods, as it directly operates on the gray level histogram. In this project, Otsu thresholding algorithm is used to segment the roads and residential areas from the vegetation areas in remote sensing images.
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