Example Morphological Thinning - Revision history

Peter at 23:07, 17 January 2022

2022-01-17T23:07:23Z

← Older revision		Revision as of 23:07, 17 January 2022
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.38/examples/src/main/java/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40/examples/src/main/java/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]

	Concepts:		Concepts:
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	for (String path : images) {		for (String path : images) {
	// load and convert the image into a usable format		// load and convert the image into a usable format
	BufferedImage image = UtilImageIO.~~loadImage~~(UtilIO.pathExample(path));		BufferedImage image = UtilImageIO.loadImageNotNull(UtilIO.pathExample(path));

	// convert into a usable format		// convert into a usable format
	GrayF32 input = ConvertBufferedImage.convertFromSingle(image, null, GrayF32.class);		GrayF32 input = ConvertBufferedImage.convertFromSingle(image, null, GrayF32.class);
	~~GrayU8~~ binary = new GrayU8(input.width, input.height);		var binary = new GrayU8(input.width, input.height);

	// Fixed threshold is best for B&W images, but the adaptive would improve results for the finger print		// Fixed threshold is best for B&W images, but the adaptive would improve results for the finger print
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	BufferedImage visualThinned = VisualizeBinaryData.renderBinary(thinned, false, null);		BufferedImage visualThinned = VisualizeBinaryData.renderBinary(thinned, false, null);

	~~ListDisplayPanel~~ panel = new ListDisplayPanel();		var panel = new ListDisplayPanel();
	panel.addImage(visualThinned, "Thinned");		panel.addImage(visualThinned, "Thinned");
	panel.addImage(visualBinary, "Binary");		panel.addImage(visualBinary, "Binary");

Peter at 19:01, 12 July 2021

2021-07-12T19:01:04Z

← Older revision		Revision as of 19:01, 12 July 2021
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.37/examples/src/main/java/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.38/examples/src/main/java/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]

	Concepts:		Concepts:
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	<syntaxhighlight lang="java">		<syntaxhighlight lang="java">
	/**		/**
	* Simple example showing you how to thin a binary image. This is also known as skeletonalization. Thinning		* Simple example showing you how to thin a binary image. This is also known as skeletonalization. Thinning
	* discards most of objects foreground (value one) pixels are leaves behind a "skinny" object which still		* discards most of objects foreground (value one) pixels are leaves behind a "skinny" object which still
	* mostly describes the original objects shape.		* mostly describes the original objects shape.

Peter at 02:23, 22 December 2020

2020-12-22T02:23:44Z

← Older revision		Revision as of 02:23, 22 December 2020
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.23/examples/src/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.37/examples/src/main/java/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]

	Concepts:		Concepts:
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	*/		*/
	public class ExampleMorphologicalThinning {		public class ExampleMorphologicalThinning {
	public static void main(String[] args) {		public static void main( String[] args ) {
			String[] images = new String[]{"drawings/drawing_text.png", "standard/fingerprint.jpg", "drawings/drawing_face.png"};
	String[] images = new String[]{"drawings/drawing_text.png","standard/fingerprint.jpg","drawings/drawing_face.png"};

	ListDisplayPanel uberPanel = new ListDisplayPanel();		ListDisplayPanel uberPanel = new ListDisplayPanel();
	for( String path : images ) {		for (String path : images) {
	// load and convert the image into a usable format		// load and convert the image into a usable format
	BufferedImage image = UtilImageIO.loadImage(UtilIO.pathExample(path));		BufferedImage image = UtilImageIO.loadImage(UtilIO.pathExample(path));
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	panel.addImage(image, "Original");		panel.addImage(image, "Original");

	uberPanel.addItem(panel,new File(path).getName());		uberPanel.addItem(panel, new File(path).getName());
	}		}
	ShowImages.showWindow(uberPanel, "Thinned/Skeletonalized Images", true);		ShowImages.showWindow(uberPanel, "Thinned/Skeletonalized Images", true);

Peter at 04:52, 28 March 2016

2016-03-28T04:52:34Z

← Older revision		Revision as of 04:52, 28 March 2016
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.20/examples/src/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.23/examples/src/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]

	Concepts:		Concepts:
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	// convert into a usable format		// convert into a usable format
	~~ImageFloat32~~ input = ConvertBufferedImage.convertFromSingle(image, null, ~~ImageFloat32~~.class);		GrayF32 input = ConvertBufferedImage.convertFromSingle(image, null, GrayF32.class);
	~~ImageUInt8~~ binary = new ~~ImageUInt8~~(input.width, input.height);		GrayU8 binary = new GrayU8(input.width, input.height);

	// Fixed threshold is best for B&W images, but the adaptive would improve results for the finger print		// Fixed threshold is best for B&W images, but the adaptive would improve results for the finger print
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	// Tell it to thin the image until there are no more changes		// Tell it to thin the image until there are no more changes
	~~ImageUInt8~~ thinned = BinaryImageOps.thin(binary, -1, null);		GrayU8 thinned = BinaryImageOps.thin(binary, -1, null);

	// display the results		// display the results

Peter at 15:27, 9 November 2015

2015-11-09T15:27:13Z

← Older revision		Revision as of 15:27, 9 November 2015
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	<center>		<center>
	<gallery widths=240px heights=220px>		<gallery widths=240px heights=220px>
	File:~~Fingerprint~~.~~jpg~~ \| Input image of a finger print		File:Thinning_cartoon_face.png \| Input image of a finger print
	File:~~Thinned_binary~~.png \| Binary image		File:Thinning_cartoon_face_binary.png \| Binary image
	File:~~Thinned_thinned~~.png \| Thinned image		File:Thinning_cartoon_face_thinned.png \| Thinned image
	</gallery>		</gallery>
	</center>		</center>

Peter at 15:18, 9 November 2015

2015-11-09T15:18:49Z

← Older revision		Revision as of 15:18, 9 November 2015
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	Example Code:		Example Code:
	* [https://github.com/lessthanoptimal/BoofCV/blob/v0.19/examples/src/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]		* [https://github.com/lessthanoptimal/BoofCV/blob/v0.20/examples/src/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]

	Concepts:		Concepts:
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	public class ExampleMorphologicalThinning {		public class ExampleMorphologicalThinning {
	public static void main(String[] args) {		public static void main(String[] args) {
	~~// load and convert the image into a usable format~~
	~~BufferedImage image = UtilImageIO.loadImage("../data/applet/standard/fingerprint.jpg");~~

	/~~/ convert into a usable format~~		String[] images = new String[]{"drawings/drawing_text.png","standard/fingerprint.jpg","drawings/drawing_face.png"};
	~~ImageFloat32 input = ConvertBufferedImage~~.~~convertFromSingle(image~~, ~~null, ImageFloat32~~.~~class);~~
	~~ImageUInt8 binary = new ImageUInt8(input.width~~,~~input~~.~~height)~~;

	// ~~Adaptive threshold to better handle changes in local~~ image ~~intensity~~		ListDisplayPanel uberPanel = new ListDisplayPanel();
	~~GThresholdImageOps~~.~~adaptiveGaussian~~(~~input,binary,10,0,true,null,null~~);		for( String path : images ) {
			// load and convert the image into a usable format
			BufferedImage image = UtilImageIO.loadImage(UtilIO.pathExample(path));

	// ~~Tell it to thin the~~ image ~~until there are no more changes~~		// convert into a usable format
	ImageUInt8 ~~thinned~~ = ~~BinaryImageOps~~.~~thin(binary~~, ~~-1, null~~);		ImageFloat32 input = ConvertBufferedImage.convertFromSingle(image, null, ImageFloat32.class);
			ImageUInt8 binary = new ImageUInt8(input.width, input.height);

	// ~~display~~ the results		// Fixed threshold is best for B&W images, but the adaptive would improve results for the finger print
	~~BufferedImage visualBinary = VisualizeBinaryData~~.~~renderBinary~~(binary, ~~false~~, ~~null~~);		GThresholdImageOps.threshold(input, binary, 120, true);
	~~BufferedImage visualThinned = VisualizeBinaryData~~.~~renderBinary~~(~~thinned~~, ~~false~~, null);		// GThresholdImageOps.adaptiveSquare(input, binary, 20,0,true,null,null);

	~~ListDisplayPanel panel~~ = ~~new ListDisplayPanel();~~		// Tell it to thin the image until there are no more changes
	~~panel.addImage(visualThinned, "Thinned");~~		ImageUInt8 thinned = BinaryImageOps.thin(binary, -1, null);
	~~panel~~.~~addImage~~(~~visualBinary~~, ~~"Binary");~~
	~~panel.addImage(image~~, ~~"Original"~~);

	ShowImages.showWindow(~~panel~~,"Thinned/Skeletonalized ~~Image~~", true);		// display the results
			BufferedImage visualBinary = VisualizeBinaryData.renderBinary(binary, false, null);
			BufferedImage visualThinned = VisualizeBinaryData.renderBinary(thinned, false, null);

			ListDisplayPanel panel = new ListDisplayPanel();
			panel.addImage(visualThinned, "Thinned");
			panel.addImage(visualBinary, "Binary");
			panel.addImage(image, "Original");

			uberPanel.addItem(panel,new File(path).getName());
			}
			ShowImages.showWindow(uberPanel, "Thinned/Skeletonalized Images", true);
	}		}
	}		}
	</syntaxhighlight>		</syntaxhighlight>

Peter: Created page with " File:Fingerprint.jpg | Input image of a finger print File:Thinned_binary.png | Binary image File:Thinned_thinned.png | Thinned im..."

2015-09-19T20:06:58Z

Created page with "<center> <gallery widths=240px heights=220px> File:Fingerprint.jpg | Input image of a finger print File:Thinned_binary.png | Binary image File:Thinned_thinned.png | Thinned im..."

New page

<center>
<gallery widths=240px heights=220px>
File:Fingerprint.jpg | Input image of a finger print
File:Thinned_binary.png | Binary image
File:Thinned_thinned.png | Thinned image
</gallery>
</center>

Example of how to thin a binary image. The thinned image (or skeleton) is a common preprocessing step in shape analysis.

Example Code:
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.19/examples/src/boofcv/examples/imageprocessing/ExampleMorphologicalThinning.java ExampleMorphologicalThinning.java]

Concepts:
* Binary Processing
* Shapes
* Thinning

= Example Code =

<syntaxhighlight lang="java">
/**
* Simple example showing you how to thin a binary image. This is also known as skeletonalization. Thinning
* discards most of objects foreground (value one) pixels are leaves behind a "skinny" object which still
* mostly describes the original objects shape.
*
* @author Peter Abeles
*/
public class ExampleMorphologicalThinning {
public static void main(String[] args) {
// load and convert the image into a usable format
BufferedImage image = UtilImageIO.loadImage("../data/applet/standard/fingerprint.jpg");

// convert into a usable format
ImageFloat32 input = ConvertBufferedImage.convertFromSingle(image, null, ImageFloat32.class);
ImageUInt8 binary = new ImageUInt8(input.width,input.height);

// Adaptive threshold to better handle changes in local image intensity
GThresholdImageOps.adaptiveGaussian(input,binary,10,0,true,null,null);

// Tell it to thin the image until there are no more changes
ImageUInt8 thinned = BinaryImageOps.thin(binary, -1, null);

// display the results
BufferedImage visualBinary = VisualizeBinaryData.renderBinary(binary, false, null);
BufferedImage visualThinned = VisualizeBinaryData.renderBinary(thinned, false, null);

ListDisplayPanel panel = new ListDisplayPanel();
panel.addImage(visualThinned, "Thinned");
panel.addImage(visualBinary, "Binary");
panel.addImage(image, "Original");

ShowImages.showWindow(panel,"Thinned/Skeletonalized Image", true);
}
}
</syntaxhighlight>