Watershed Module theory - Revision history

Rudolf@tygron.nl at 06:48, 4 April 2025

2025-04-04T06:48:53Z

← Older revision		Revision as of 06:48, 4 April 2025
Line 1:		Line 1:
	{{stub}}		{{stub}}

	{{Template:~~Watershed_Module_buttons~~}}		{{Template:Watershed Module buttons}}

	==Topics==		==Topics==
	* [[Watershed algorithm]], for the used algorithm in the Watershed Module.		* [[Watershed algorithm]], for the used algorithm in the Watershed Module.

Rudolf@tygron.nl at 11:54, 6 December 2023

2023-12-06T11:54:09Z

← Older revision		Revision as of 11:54, 6 December 2023
Line 1:		Line 1:
			{{stub}}

	{{Template:Watershed_Module_buttons}}		{{Template:Watershed_Module_buttons}}

	==Topics==		==Topics==
	* [[Watershed algorithm]], for the used algorithm in the Watershed Module.		* [[Watershed algorithm]], for the used algorithm in the Watershed Module.

Rudolf@tygron.nl: Rudolf@tygron.nl moved page Watershed Module Theory to Watershed Module theory: Capitalization consistency for navigational tempates

2020-12-14T12:33:45Z

Rudolf@tygron.nl moved page Watershed Module Theory to Watershed Module theory: Capitalization consistency for navigational tempates

← Older revision	Revision as of 12:33, 14 December 2020
(No difference)

Frank@tygron.nl: /* References */

2020-08-20T16:08:24Z

References

← Older revision		Revision as of 16:08, 20 August 2020
Line 3:		Line 3:
	==Topics==		==Topics==
	* [[Watershed algorithm]], for the used algorithm in the Watershed Module.		* [[Watershed algorithm]], for the used algorithm in the Watershed Module.

	~~==References==~~
	~~<references/>~~

Frank@tygron.nl: /* Watershed */

2020-06-10T14:56:53Z

Watershed

← Older revision		Revision as of 14:56, 10 June 2020
Line 1:		Line 1:
	{{Template:Watershed_Module_buttons}}		{{Template:Watershed_Module_buttons}}

	~~==Watershed==~~
	In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image. Some of the proposed algorithms use the principle of flooding water on a DEM to identify individual watersheds, separated by borders of higher altitude.

	One of the problems that often occur when generated watersheds is over-segmentation. Over-segmentation occurs when the elevation data contains many local minima. To overcome this issue, the elevation data is often smoothed to remove local minima and generate larger watersheds.

	Our watershed algorithm is used for a slightly different purpose, namely identifying the watershed areas for predefined waterways. More generally, one is interested into which waterway a set of rain drops will end up based on the terrain elevation and the starting location of the drops.

	Since we support the calculation of rainfall using our water module and can generate water flow direction results, we have altered the watershed algorithm to use the flow direction instead of the terrain elevation as input. Given that the rainfall used is adequately large, it helps us reducing the amount of local minima and hopefully generate more realistic results based on rainfall simulation.

	==Topics==		==Topics==

Frank@tygron.nl at 15:45, 20 May 2020

2020-05-20T15:45:41Z

← Older revision		Revision as of 15:45, 20 May 2020
Line 1:		Line 1:
	{{Template:Watershed_Module_buttons}}		{{Template:Watershed_Module_buttons}}

			==Watershed==
	In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image. Some of the proposed algorithms use the principle of flooding water on a DEM to identify individual watersheds, separated by borders of higher altitude.		In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image. Some of the proposed algorithms use the principle of flooding water on a DEM to identify individual watersheds, separated by borders of higher altitude.

Frank@tygron.nl at 14:16, 20 May 2020

2020-05-20T14:16:06Z

← Older revision		Revision as of 14:16, 20 May 2020
Line 3:		Line 3:
	In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image. Some of the proposed algorithms use the principle of flooding water on a DEM to identify individual watersheds, separated by borders of higher altitude.		In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image. Some of the proposed algorithms use the principle of flooding water on a DEM to identify individual watersheds, separated by borders of higher altitude.

	One of the problems that often occur when generated watersheds is over-segmentation. Over-segmentation occurs when the elevation data contains many local ~~(minor)~~ minima. To overcome this issue, the elevation data is often smoothed to remove local minima and generate larger watersheds.		One of the problems that often occur when generated watersheds is over-segmentation. Over-segmentation occurs when the elevation data contains many local minima. To overcome this issue, the elevation data is often smoothed to remove local minima and generate larger watersheds.

	Our watershed algorithm is used for a slightly different purpose, namely identifying the watershed areas for predefined waterways. More generally, one is interested into which waterway a set of rain drops will end up based on the terrain elevation and the starting location of the drops.		Our watershed algorithm is used for a slightly different purpose, namely identifying the watershed areas for predefined waterways. More generally, one is interested into which waterway a set of rain drops will end up based on the terrain elevation and the starting location of the drops.

Frank@tygron.nl at 14:12, 20 May 2020

2020-05-20T14:12:14Z

← Older revision		Revision as of 14:12, 20 May 2020
Line 1:		Line 1:
	{{Template:Watershed_Module_buttons}}		{{Template:Watershed_Module_buttons}}

	~~The methodology used in the Watershed Module is based on the watershed technique in image processing.~~ In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image.		In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image. Some of the proposed algorithms use the principle of flooding water on a DEM to identify individual watersheds, separated by borders of higher altitude.

			One of the problems that often occur when generated watersheds is over-segmentation. Over-segmentation occurs when the elevation data contains many local (minor) minima. To overcome this issue, the elevation data is often smoothed to remove local minima and generate larger watersheds.

			Our watershed algorithm is used for a slightly different purpose, namely identifying the watershed areas for predefined waterways. More generally, one is interested into which waterway a set of rain drops will end up based on the terrain elevation and the starting location of the drops.

			Since we support the calculation of rainfall using our water module and can generate water flow direction results, we have altered the watershed algorithm to use the flow direction instead of the terrain elevation as input. Given that the rainfall used is adequately large, it helps us reducing the amount of local minima and hopefully generate more realistic results based on rainfall simulation.

	==Topics==		==Topics==

Frank@tygron.nl: /* Topics */

2020-05-20T13:53:17Z

Topics

← Older revision		Revision as of 13:53, 20 May 2020
Line 5:		Line 5:
	==Topics==		==Topics==
	* [[Watershed algorithm]], for the used algorithm in the Watershed Module.		* [[Watershed algorithm]], for the used algorithm in the Watershed Module.

			==References==
			<references/>

Frank@tygron.nl at 13:53, 20 May 2020

2020-05-20T13:53:03Z

← Older revision		Revision as of 13:53, 20 May 2020
Line 1:		Line 1:
	{{Template:Watershed_Module_buttons}}		{{Template:Watershed_Module_buttons}}

	The methodology used in the Watershed Module is based on the watershed technique in image processing. In the study of image processing, a watershed ~~is a transformation defined on a grayscale image.~~<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref>		The methodology used in the Watershed Module is based on the watershed technique in image processing. In the study of image processing, a watershed<ref>https://en.wikipedia.org/wiki/Watershed_%28image_processing%29</ref> is a transformation defined on a grayscale image.

	==Topics==		==Topics==
	* [[Watershed algorithm]], for the used algorithm in the Watershed Module.		* [[Watershed algorithm]], for the used algorithm in the Watershed Module.