STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Remote Sensing & GIS

Texture Based Segmentation of Remotely Sensed Images

  1. Amrutha Prabhakaran
  2. Noufi Noushad
  3. Lekshmi S.
  4. P.V. Hareesh Kumar
  5. Sudheep Elayidom

Abstract

Texture based segmentation approach extracts homogeneous regions that have similar texture properties. The texture patterns make use of the gray scale relationship between the center pixel and its surrounding neighbors. In this paper, a novel method is proposed that encodes the spatial relationship between adjacent pairs of neighbors on either side of the center pixel including itself along the given directions in an image. The novelty of the proposed method is that the texture operator is applied on multiple windows of the image to produce a stack of images from which the texture pattern is obtained. The proposed operator is applied on SAR images of ocean surface to detect regions of interest like ship or slick.
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