pal_vision_util Namespace Reference

Classes
class	Image
	Wrapper of old C-style OpenCV IplImage with some processing functionalities. More...
class	ImageRoi
	2D roi More...
Functions
void	calcHSVHist (const std::vector< cv::Mat > &src, cv::MatND &histogram)
	calcHSVHist compute and return Hue-Saturation histogram of a given set of images
void	calcHSVHist (const std::vector< cv::Mat > &src, std::vector< cv::MatND > &histograms)
	calcHSVHist compute a Hue-Saturation for each given image
void	calcHSVHist (const cv::Mat &src, cv::MatND &histogram)
	calcHSVHist compute and return a Hue-Saturation histogram of a given image
void	dctNormalization (const cv::Mat &img, cv::Mat &normalizedImg, int coefficientsToCancel, const ImageRoi &roi=ImageRoi(0, 0, 0, 0))
void	dctNormalization (const Image &img, Image &normalizedImg, int coefficientsToCancel, const ImageRoi &roi=ImageRoi(0, 0, 0, 0))
	illumination normalization using the discrete cosine transform (DCT).
void	getConnectedComponents (const cv::Mat &binaryImage, std::vector< std::vector< cv::Point2i > > &components, std::vector< cv::Rect > &boundingBoxes)
	getConnectedComponents finds connected components in the given binary image
void	getLab (const Image &img, Image &L, Image &a, Image &b)
	return the Lab components of the given image
cv::Mat	histogramImage (const cv::MatND &hist)
void	setLab (const Image &L, const Image &a, const Image &b, Image &img)
	build up a new image from the three Lab components provided.
void	showHist (const cv::MatND &hist)

Detailed Description

void pal_vision_util::calcHSVHist	(	const std::vector< cv::Mat > &	src,
		cv::MatND &	histogram
	)

calcHSVHist compute and return Hue-Saturation histogram of a given set of images

Parameters:

	src
	histograms

void pal_vision_util::calcHSVHist	(	const std::vector< cv::Mat > &	src,
		std::vector< cv::MatND > &	histograms
	)

calcHSVHist compute a Hue-Saturation for each given image

Parameters:

	src
	histogram

void pal_vision_util::calcHSVHist	(	const cv::Mat &	src,
		cv::MatND &	histogram
	)

calcHSVHist compute and return a Hue-Saturation histogram of a given image

Parameters:

	src
	histogram

void pal_vision_util::dctNormalization	(	const cv::Mat &	img,
		cv::Mat &	normalizedImg,
		int	coefficientsToCancel,
		const ImageRoi &	roi = `ImageRoi(0, 0, 0, 0)`
	)

See also:: dctNormalization(). Overloaded function accepting OpenCV C++ image as input and output.

Definition at line 455 of file image_processing.cpp.

void pal_vision_util::dctNormalization	(	const Image &	img,
		Image &	normalizedImg,
		int	coefficientsToCancel,
		const ImageRoi &	roi = `ImageRoi(0, 0, 0, 0)`
	)

illumination normalization using the discrete cosine transform (DCT).

Parameters:

`[in]`	img	input image
`[out]`	normalizedImg	resulting normalized image
`[in]`	coefficientsToCancel	number of DCT coefficients that will be truncated
`[in]`	ImageRoi	optional. Image region in which normalization will be carried on.

Definition at line 321 of file image_processing.cpp.

void pal_vision_util::getConnectedComponents	(	const cv::Mat &	binaryImage,
		std::vector< std::vector< cv::Point2i > > &	components,
		std::vector< cv::Rect > &	boundingBoxes
	)

getConnectedComponents finds connected components in the given binary image

Parameters:

`[in]`	binaryImage.	Pixels set at 0 will be considered background, otherwise foreground.
`[out]`	components	for every connected component found this vector contains a vector of pixel coordinates that belong to the component (non black pixels).
`[out]`	boundingBoxes	bounding rectangle of every connected component

Definition at line 42 of file image_processing.cpp.

return the Lab components of the given image

Definition at line 290 of file image_processing.cpp.

cv::Mat pal_vision_util::histogramImage ( const cv::MatND & hist )

build up a new image from the three Lab components provided.

Definition at line 308 of file image_processing.cpp.

void pal_vision_util::showHist ( const cv::MatND & hist )