آموزش پردازش تصویر با opencv - بخش ششم

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cv::CannyOpenCV

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C++: void Canny(InputArray image, OutputArray edges, double threshold1,

double threshold2, int apertureSize=3, boolL2gradient=false )

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,p). ).

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OpenCV..cv::HoughLines

()..

2cv::Vec2f,p) ).

rho, theta..cv::HoughLines

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C++: void HoughLines(InputArray image, OutputArray lines, double rho, double theta, int threshold)

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()OpenCV.

cv::HoughLinesP.

cv::Vec4i.

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C++: void HoughLinesP(InputArray image, OutputArray lines, double rho, double theta,

int threshold, double minLineLength=0, double maxLineGap=0 )

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)..(

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2 = 02 + 0

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.()3.cv::HoughCircles

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C++: void HoughCircles(InputArray image, OutputArray circles, int method, double dp,

double minDist, double param1=100, double param2=100, int minRadius=0, int maxRadius=0 )

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C++: void HoughCircles(InputArray image, OutputArray circles, int method, double dp,

double minDist, double param1=100, double param2=100, int minRadius=0, int maxRadius=0 )

src_gray: Input image (grayscale)

circles: A vector that stores sets of 3 values: for each detected circle.

CV_HOUGH_GRADIENT: Define the detection method. Currently this is the only one available in OpenCV

dp = 1: The inverse ratio of resolution

min_dist = src_gray.rows/8: Minimum distance between detected centers

param_1 = 200: Upper threshold for the internal Canny edge detector

param_2 = 100*: Threshold for center detection.

min_radius = 0: Minimum radio to be detected. If unknown, put zero as default.

max_radius = 0: Maximum radius to be detected. If unknown, put zero as default

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)cv::Vec4f2.(.

std::vectorcv::Mat.)

.(

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C++: void fitLine(InputArray points, OutputArray line, int distType, double param, double reps, double aeps)

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CV_DIST_L2.

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.M-estimator)

.(.

cv::Point3icv::Point3fcv::Vec6f.

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C++: void fitLine(InputArray points, OutputArray line, int distType, double param, double reps, double aeps)

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cv::fitEllipse

(cv::RotatedRect)..

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.cv::ellipse

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C++: RotatedRect fitEllipse(InputArray points)

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..-canny

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OpenCVcvFindContours().

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OpenCVcv::findContours

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()cvCanny ()cvThreshold

..cv::PointHierarchy.

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C++: void findContours(InputOutputArray image, OutputArrayOfArrays contours,

OutputArray hierarchy, int mode, int method, Point offset=Point())

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C++: void findContours(InputOutputArray image, OutputArrayOfArrays contours,

OutputArray hierarchy, int mode, int method, Point offset=Point())

,CV_RETR_EXTERNAL: modeCV_RETR_LIST, CV_RETR_CCOMP, CV_RETR_TREE.

mode ,h_prev, h_next).

v_prev, and v_next) mode.

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C++: void findContours(InputOutputArray image, OutputArrayOfArrays contours,

OutputArray hierarchy, int mode, int method, Point offset=Point())

CV_RETR_EXTERNAL.CV_RETR_LIST.CV_RETR_CCOMP

..

CV_RETR_TREE.2.

.2.

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C++: void findContours(InputOutputArray image, OutputArrayOfArrays contours,

OutputArray hierarchy, int mode, int method, Point offset=Point())

(.) methodCV_CHAIN_CODE.

(.)CV_CHAIN_APPROX_NONE.CV_CHAIN_APPROX_SIMPLE

.CV_CHAIN_APPROX_TC89_L1CV_CHAIN_APPROX_TC89_KCOS

.Teh-ChinCV_LINK_RUNS1()

.CV_RETR_LIST

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C++: void findContours(InputOutputArray image, OutputArrayOfArrays contours,

OutputArray hierarchy, int mode, int method, Point offset=Point())

.hierrachycontoursContours.Hierarchy.4i

hierarchy[i][0]hierarchy[i][1]hierarchy[i][2]hierarchy[i][3]

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.OpenCV

..

.thickness=CV_FILLEDthickness.maxLevelhierarchy

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void drawContours(InputOutputArray image, InputArrayOfArrays contours, int contourIdx,const Scalar& color, int thickness=1, int lineType=8, InputArray hierarchy=noArray(),

int maxLevel=INT_MAX, Point offset=Point() )

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Bounding) box)

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Polygonal approximation

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C++: Moments moments(InputArray array, bool binaryImage=false (

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