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Title

A Novel Transformation Watershed Image Segmentation Model in Digital Elevation Maps Processing

Year: 1399
COI: JR_MPMPJ-9-3_002
Language: EnglishView: 41
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Authors

Aref Safari - Department of Computer Engineering, Islamic Azad University, Rasht Branch, Rasht, Iran

Abstract:

Computer analysis of image objects starts with finding them-deciding which pixels belong to each object. Digital elevation maps or models (DEMs) are arrays of numbers representing the spatial distribution of terrain elevations. They can be seen as gray-scale images, whereby the value of a pixel represents an elevation rather than a luminance intensity (the brighter the gray-tone level of a pixel, the higher the elevation of the terrain point corresponding to this pixel). Useful applications of DEMs can be found in civil/rural engineering, geographic information systems (GIS), geomorphology, water resources management, photogrammetry, satellite imaging. A watershed is defined as a region of land that assists in draining water (usually rainwater) into a river or a creek. It is an area of high ground through which water flows into the river or creek. Simply defined, the watershed is a transformation in grayscale images. This technique aims to segment the image, typically when two regions-of-interest are close to each other, their edges touch. Thus far, we have discussed segmentation based on three principal concepts.

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Paper COI Code

This Paper COI Code is JR_MPMPJ-9-3_002. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1146165/

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Safari, Aref,1399,A Novel Transformation Watershed Image Segmentation Model in Digital Elevation Maps Processing,https://civilica.com/doc/1146165

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 5,926
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