Struct describing features of a segmentation object. More...

#include <CommonHeaderDLL.h>

Public Attributes
unsigned int	xCenter
	x coordinate of the center of the object

unsigned int	yCenter
	y coordinate of the center of the object

unsigned int	area
	area of the object

unsigned int	width
	width of the object

unsigned int	height
	height of the object

unsigned int	classIdx
	class index of the object (except for background)

double	scores [3]
	Mean, minimum, maximum score values (0 ~ 255) of the object. More...

double	averageColor [3]
	Average color (BGR order, 0 ~ 255) of the object. More...

int	nContours

int *	hierarchies
	Array of hierarchies for all contours of segmented object. More...

Cropped image
Information on a image which is cropped around the object. The image is not cropped in default behavior. To get the image, change the mode of post-processing by calling SR_SetSegTestIsToStoreCroppedImage.
int	croppedImageWidth
	width of a cropped image

int	croppedImageHeight
	height of a cropped image

int	croppedImageChannels
	# of channels of a cropped image

void *	croppedImage
	data of a cropped image

Detailed Description

Struct describing features of a segmentation object.

Member Data Documentation

◆ averageColor

double SR_SegmentedObject::averageColor[3]

Average color (BGR order, 0 ~ 255) of the object.

These values are not calculated in default behavior. To get this value, change the mode of post-processing by calling SR_SetSegTestIsToCalcAverageColor.
For grayscale, check the first element of the array.

See also: Segmentation's average color

◆ hierarchies

int* SR_SegmentedObject::hierarchies

Array of hierarchies for all contours of segmented object.

lenght of array = 4 x nContours

◆ nContours

int SR_SegmentedObject::nContours

Infomation on contours of segmented object

◆ scores

double SR_SegmentedObject::scores[3]

Mean, minimum, maximum score values (0 ~ 255) of the object.

These values are not calculated in default behavior. To get these values, change the mode of post-processing by calling SR_SetSegTestIsToCalcObjectScores.

scores[0]: average score of pixels in the object.
scores[1]: minimum score of pixels in the object.
scores[2]: maximum score of pixels in the object.

See also
Segmentation's object score

The documentation for this struct was generated from the following file: