Image processing

Overview

C API

ColorMaps in OpenCV

Drawing Functions

Feature Detection

Geometric Image Transformations

Hardware Acceleration Layer

Functions

Interface

Histograms

Image Filtering

Miscellaneous Image Transformations

Motion Analysis and Object Tracking

Object Detection

Planar Subdivision

Structural Analysis and Shape Descriptors

// enums

enum cv::HoughModes;

// classes

class cv::CLAHE;
class cv::GeneralizedHough;
class cv::GeneralizedHoughBallard;
class cv::GeneralizedHoughGuil;

// global functions

void
cv::blendLinear(
    InputArray src1,
    InputArray src2,
    InputArray weights1,
    InputArray weights2,
    OutputArray dst
    );

Ptr<CLAHE>
cv::createCLAHE(
    double clipLimit = 40.0,
    Size tileGridSize = Size(8, 8)
    );

Ptr<GeneralizedHoughBallard>
cv::createGeneralizedHoughBallard();

Ptr<GeneralizedHoughGuil>
cv::createGeneralizedHoughGuil();

void
cv::demosaicing(
    InputArray _src,
    OutputArray _dst,
    int code,
    int dcn = 0
    );

Detailed Documentation

Global Functions

void
cv::blendLinear(
    InputArray src1,
    InputArray src2,
    InputArray weights1,
    InputArray weights2,
    OutputArray dst
    )

Performs linear blending of two images:

\[\texttt{dst}(i,j) = \texttt{weights1}(i,j)*\texttt{src1}(i,j) + \texttt{weights2}(i,j)*\texttt{src2}(i,j)\]

Parameters:

src1	It has a type of CV_8UC(n) or CV_32FC(n), where n is a positive integer.
src2	It has the same type and size as src1.
weights1	It has a type of CV_32FC1 and the same size with src1.
weights2	It has a type of CV_32FC1 and the same size with src1.
dst	It is created if it does not have the same size and type with src1.

Ptr<GeneralizedHoughBallard>
cv::createGeneralizedHoughBallard()

Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122. Detects position only without translation and rotation

Ptr<GeneralizedHoughGuil>
cv::createGeneralizedHoughGuil()

Guil, N., González-Linares, J.M. and Zapata, E.L. (1999). Bidimensional shape detection using an invariant approach. Pattern Recognition 32 (6): 1025-1038. Detects position, translation and rotation