Abstract—Image Segmentation and its performance evaluation are very difficult but important problems in computer vision and image processing. Segmentation is the process of partitioning an image into non-intersecting regions such that each region is homogeneous and the union of no two adjacent regions is homogeneous. In spite of the vast research published on Image Segmentation and Texture detection in several disciplines for the last few decades, the concept still gives scope for research and applicability .The goal of segmentation is typically to locate certain objects of interest which may be depicted in the image. Image segmentation methods can be subdivided into region-based vs. edge-based methods. feature extraction has been applied in many areas widely including roads, buildings but extraction of power line towers are very difficult due to its vertical structure .This paper clearly presents an efficient and simple segmentation algorithm which is based on smoothing filters to extract a power line structure from a remote sensing image.
Index Terms—Edge detection, computer vision, image processing.
Kamran Hafeez is with the Department of Electrical Engineering, Iqra National University, Pakistan. M. Aamir and Shehzad Afzal is with the Department of Electrical Engineering, Sarhad University of Science and Technology Pakistan.
Shehzad Afzal is with the IT Department Khyber Bank.
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Cite: Kamran Hafeez, M. Aamir, and Shehzad Afzal, "Automatic Extraction of Power Line Towers with the Help of Image Segmentation Using a Remote Sensing Data,"
International Journal of Future Computer and Communication vol. 1, no. 3, pp. 289-291, 2012.
