Function:ImageFilter - Revision history

Jawad: /* Function */

2022-10-23T12:14:22Z

Function

← Older revision		Revision as of 12:14, 23 October 2022
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	===Function===		===Function===
	{\|		{\|
	\|style="font-size:~~150~~%;"\|		\|style="font-size:100%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">

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	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}

	===Parameters===		===Parameters===

Jawad at 12:34, 18 April 2013

2013-04-18T12:34:56Z

← Older revision		Revision as of 12:34, 18 April 2013
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	//Applying filter 'f' on the image		//Applying filter 'f' on the image
	cuvi::imageFiltering::~~imFilter~~(gimg,gout,roi,f);		cuvi::imageFiltering::imageFilter(gimg,gout,roi,f);

	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}

Jawad at 12:34, 18 April 2013

2013-04-18T12:34:37Z

← Older revision		Revision as of 12:34, 18 April 2013
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	\|style="font-size:150%;"\|		\|style="font-size:150%;"\|
	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">
	CuviStatus imageFilter(CuviImage* srcImage,
	CuviImage* dstImage,		CuviStatus imageFilter(const CuviImage& src,
	~~CuviROI~~ roi,		CuviImage& dst,
	CuviFilter* filter,		const CuviFilter& filter,
	CuviStream* stream = ~~NULL~~);		const CuviStream& stream = CuviStream());

			CuviStatus imageFilter(const CuviImage& src,
			CuviImage& dst,
			const CuviRect& roi,
			const CuviFilter& filter,
			const CuviStream& stream = CuviStream());
	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}
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	! Description		! Description
	\|-		\|-
	\| ~~srcImage~~		\| src
	\| CuviImage*		\| const CuviImage&
	\| Input Image		\| Input Image
	\|-		\|-
	\| ~~dstImage~~		\| dst
	\| CuviImage*		\| CuviImage&
	\| Output Image		\| Output Image
	\|-		\|-
	\| roi		\| roi
	\| ~~CuviROI~~		\| const CuviRect&
	\| Region of Interest		\| Region of Interest
	\|-		\|-
	\| filter		\| filter
	\| CuviFilter*		\| const CuviFilter&
	\| This structure contains filter parameters including dimensions of the filter kernel, coefficients and anchor position		\| This structure contains filter parameters including dimensions of the filter kernel, coefficients and anchor position
	\|-		\|-
	\| stream		\| stream
	\| CuviStream*		\| const CuviStream&
	\| GPU stream ID for execution		\| GPU stream ID for execution

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	\|-		\|-
	\| 32fC3		\| 32fC3
	~~\| 32fC3~~
	\|-
	~~\| 8uC1~~
	~~\| 32fC1~~
	\|-
	~~\| 8uC3~~
	~~\| 32fC3~~
	\|-
	~~\| 16uC1~~
	~~\| 32fC1~~
	\|-
	~~\| 16uC3~~
	\| 32fC3		\| 32fC3
	\|}		\|}
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	//Input image		//Input image
	CuviImage* gimg = ~~new CuviImage~~(~~cuviSize(img->width,img->height),img->depth,img->nChannels);~~		CuviImage gimg = cuvi::io::loadImage(path);
	~~gimg->upload(img->imageData,img->widthStep~~);

	//Output ~~Image~~		//Output image
	CuviImage* gout ~~= new CuviImage(cuviSize(img->width,img->height),img->depth,img->nChannels)~~;		CuviImage gout;

	//Choosing ROI		//Choosing ROI
	~~CuviROI~~ roi ~~= cuviROI~~(0,0,~~img->~~width,~~img->~~height);		CuviRect roi(0,0,gimg.width(),gimg.height());

			//Creating a 3x3 Averaging Filter. User can also enter custom coefficients

			Cuvi32f coeffs[9] = {
			1/9.0f, 1/9.0f, 1/9.0f,
			1/9.0f, 1/9.0f, 1/9.0f,
			1/9.0f, 1/9.0f, 1/9.0f,
			};

	~~//Creating a 5x5 Averaging Filter. User can also enter custom coefficients~~		CuviFilter f(3,3,coeffs);
	CuviFilter* f;
	~~cuviCreateFilter~~(~~&f,5~~,~~5);~~
	~~cuviCreateFilterSpecial(f~~,~~CUVI_FILTER_AVERAGE~~);

	//Applying filter 'f' on the image		//Applying filter 'f' on the image

Jawad at 12:42, 26 April 2012

2012-04-26T12:42:50Z

← Older revision		Revision as of 12:42, 26 April 2012
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	<syntaxhighlight lang="cpp">		<syntaxhighlight lang="cpp">

			//Input image
			CuviImage* gimg = new CuviImage(cuviSize(img->width,img->height),img->depth,img->nChannels);
			gimg->upload(img->imageData,img->widthStep);

			//Output Image
			CuviImage* gout = new CuviImage(cuviSize(img->width,img->height),img->depth,img->nChannels);

			//Choosing ROI
			CuviROI roi = cuviROI(0,0,img->width,img->height);

	~~CuviImage~~* ~~gimg = new CuviImage~~(~~size~~,~~img->depth~~,~~img->nChannels~~);		//Creating a 5x5 Averaging Filter. User can also enter custom coefficients
	~~CuviImage* gout = new CuviImage~~(~~size,img->depth~~,~~img->nChannels~~);		CuviFilter* f;
			cuviCreateFilter(&f,5,5);
			cuviCreateFilterSpecial(f,CUVI_FILTER_AVERAGE);

	//~~Populate input~~ image ~~with pixel data~~		//Applying filter 'f' on the image
	gimg~~->upload(img->imageData~~,~~img->widthStep~~);		cuvi::imageFiltering::imFilter(gimg,gout,roi,f);

	~~//Mask borders with pixel value of 0~~
	~~cuvi::colorOperations::borderMask(gimg,gout,10,10,5,3,0);~~
	</syntaxhighlight>		</syntaxhighlight>
	\|}		\|}

Jawad at 12:39, 26 April 2012

2012-04-26T12:39:55Z

← Older revision		Revision as of 12:39, 26 April 2012
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	\|[[File:Filtergs.jpg\|frame\|Gaussian 5x5 with sigma=0.35]]		\|[[File:Filtergs.jpg\|frame\|Gaussian 5x5 with sigma=0.35]]
	\|[[File:Filteru.jpg\|frame\|Unsharp with alpha=0.2]]		\|[[File:Filteru.jpg\|frame\|Unsharp with alpha=0.2]]
			\|-
			\|[[File:Filterinb.jpg‎\|frame\|Input]]
			\|[[File:Filterxd.jpg\|frame\|X Derivative]]
			\|[[File:Filteryd.jpg\|frame\|Y Derivative]]

	\|}		\|}

Jawad at 12:37, 26 April 2012

2012-04-26T12:37:12Z

← Older revision		Revision as of 12:37, 26 April 2012
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	\| filter		\| filter
	\| CuviFilter*		\| CuviFilter*
	\| This structure contains filter parameters ~~which are~~ dimensions of the filter kernel and ~~filter coefficients~~		\| This structure contains filter parameters including dimensions of the filter kernel, coefficients and anchor position
	\|-		\|-
	\| stream		\| stream
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	===~~Anchor and~~ Anchor Position===		===Anchor Position===

	For creating custom square or rectangular filter kernel, you need to specify the taps as 1D row-major 32bit floating-point array. By default, the center of the 2D filter kernelis placed on the image pixel that corresponds to the current output location. This is known as the filter kernel anchor and it’s position is given by a 2D point. For a 3x3 filter kernel, the default anchor position is -1,-1 which corresponds to the center of the filter kernel, -2,-2 for 5x5 filter and so on. You can change this to another location within the filter kernel through the anchorPositionargument of the imFilter function. Here’s how you create a custom filter kernel and populate it with taps:		For creating custom square or rectangular filter kernel, you need to specify the taps as 1D row-major 32bit floating-point array. By default, the center of the 2D filter kernelis placed on the image pixel that corresponds to the current output location. This is known as the filter kernel anchor and it’s position is given by a 2D point. For a 3x3 filter kernel, the default anchor position is -1,-1 which corresponds to the center of the filter kernel, -2,-2 for 5x5 filter and so on. You can change this to another location within the filter kernel through the anchorPositionargument of the imFilter function. Here’s how you create a custom filter kernel and populate it with taps:
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	{\|		{\|
	\|-		\|-
	\|[[File:~~Maskin~~.jpg‎\|frame\|Input ~~Image~~]]		\|[[File:Filterinc.jpg‎\|frame\|Input]]
	\|[[File:~~Maskout~~.jpg\|frame\|~~Masked Image~~]]		\|[[File:Filtera55.jpg\|frame\|Average 5x5]]
			\|[[File:Filtergs.jpg\|frame\|Gaussian 5x5 with sigma=0.35]]
			\|[[File:Filteru.jpg\|frame\|Unsharp with alpha=0.2]]
	\|}		\|}

Jawad: Created page with "NOTOC Linear filters are an important part of Image Processing Applications. CUVI provides a single generic filter function to apply any filter of any size to an image. We..."

2012-04-26T12:30:58Z

Created page with "__NOTOC__ Linear filters are an important part of Image Processing Applications. CUVI provides a single generic filter function to apply any filter of any size to an image. We..."

New page

__NOTOC__
Linear filters are an important part of Image Processing Applications. CUVI provides a single generic filter function to apply any filter of any size to an image. We have in-build flags for various famous filters and programmer can input his custom filter elements as well.
===Function===
{|
|style="font-size:150%;"|
<syntaxhighlight lang="cpp">
CuviStatus imageFilter(CuviImage* srcImage,
CuviImage* dstImage,
CuviROI roi,
CuviFilter* filter,
CuviStream* stream = NULL);
</syntaxhighlight>
|}
===Parameters===

{|class="wikitable"
|-
! Name
! Type
! Description
|-
| srcImage
| CuviImage*
| Input Image
|-
| dstImage
| CuviImage*
| Output Image
|-
| roi
| CuviROI
| Region of Interest
|-
| filter
| CuviFilter*
| This structure contains filter parameters which are dimensions of the filter kernel and filter coefficients
|-
| stream
| CuviStream*
| GPU stream ID for execution

|}

===Image Type Support===

{| class="wikitable"
|-
! Input
! Output
|-
| 8uC1
| 8uC1
|-
| 8uC3
| 8uC3
|-
| 16uC1
| 16uC1
|-
| 16uC3
| 16uC3
|-
| 32fC1
| 32fC1
|-
| 32fC3
| 32fC3
|-
| 8uC1
| 32fC1
|-
| 8uC3
| 32fC3
|-
| 16uC1
| 32fC1
|-
| 16uC3
| 32fC3
|}

===Anchor and Anchor Position===

For creating custom square or rectangular filter kernel, you need to specify the taps as 1D row-major 32bit floating-point array. By default, the center of the 2D filter kernelis placed on the image pixel that corresponds to the current output location. This is known as the filter kernel anchor and it’s position is given by a 2D point. For a 3x3 filter kernel, the default anchor position is -1,-1 which corresponds to the center of the filter kernel, -2,-2 for 5x5 filter and so on. You can change this to another location within the filter kernel through the anchorPositionargument of the imFilter function. Here’s how you create a custom filter kernel and populate it with taps:

[[File:Anchor.png‎]]

===Sample===
{|
|-
|[[File:Maskin.jpg‎|frame|Input Image]]
|[[File:Maskout.jpg|frame|Masked Image]]
|}

===Example===
{|
|style="font-size:150%;"|
<syntaxhighlight lang="cpp">

CuviImage* gimg = new CuviImage(size,img->depth,img->nChannels);
CuviImage* gout = new CuviImage(size,img->depth,img->nChannels);

//Populate input image with pixel data
gimg->upload(img->imageData,img->widthStep);

//Mask borders with pixel value of 0
cuvi::colorOperations::borderMask(gimg,gout,10,10,5,3,0);
</syntaxhighlight>
|}

Function:ImageFilter - Revision history

Jawad: /* Function */

Jawad at 12:34, 18 April 2013

Jawad at 12:34, 18 April 2013

Jawad at 12:42, 26 April 2012

Jawad at 12:39, 26 April 2012

Jawad at 12:37, 26 April 2012

Jawad: Created page with "__NOTOC__ Linear filters are an important part of Image Processing Applications. CUVI provides a single generic filter function to apply any filter of any size to an image. We..."

Jawad: Created page with "NOTOC Linear filters are an important part of Image Processing Applications. CUVI provides a single generic filter function to apply any filter of any size to an image. We..."