Sobel operator is used for edge detection. It creates 2 3x3 arrays G_x and G_y and apply them to an image A(G_x * A, G_y * A). After that, the resulting image with edge detection is G = sqrt(G_x^2 + G_y^2) More...

Functions
std::pair< std::vector< std::vector< int32_t > >, std::vector< std::vector< int32_t > > >	kernel ()

std::vector< std::vector< int32_t > >	square (const std::vector< std::vector< int32_t > > &G)
	square function

std::vector< std::vector< int32_t > >	Sobel (const std::vector< std::vector< int32_t > > &image)
	Sobel apply function.

Detailed Description

Sobel operator is used for edge detection. It creates 2 3x3 arrays G_x and G_y and apply them to an image A(G_x * A, G_y * A). After that, the resulting image with edge detection is G = sqrt(G_x^2 + G_y^2)

Function Documentation

◆ kernel()

std::pair< std::vector< std::vector< int32_t > >, std::vector< std::vector< int32_t > > > sobel::kernel ( )

@ brief kernel function. Of course you can change the kernel values depending on your needs

Returns: pair<vector<int32_t>, vector<int32_t>> the G_x and G_y 3x3 kernels

◆ Sobel()

std::vector< std::vector< int32_t > > sobel::Sobel ( const std::vector< std::vector< int32_t > > & image )

Sobel apply function.

Parameters

image the 2d array of the input image

Returns: vector<vector<in t32_t> > the resulting image

◆ square()

std::vector< std::vector< int32_t > > sobel::square ( const std::vector< std::vector< int32_t > > & G )

square function