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slope

Usage

Calculates the gradient of an image, that is, the first-order differential.

Interface

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void kcv_slope_acc(const double *_src, size_t rows, size_t cols, double *_dst);

Parameters

Parameter

Description

Value Range

Input/Output

src

Input image.

Not null. The size of the allocated memory is rows*cols*sizeof(double).

Input

rows

Number of rows of the input image.

(2, 16384]

Input

cols

Number of columns of the input image.

(2,16384]

Input

dst

Output image.

Not null. The size of the allocated memory is the same as that of src.

Output

Return Values

  • Success: LITHO_IMG_STS_NO_ERR
  • Failure: an error code

Error Codes

Error Code

Description

LITHO_IMG_STS_NULL_PTR_ERR

The src or dst parameter has a null pointer.

LITHO_IMG_STS_SIZE_ERR

The value of rows or cols is less than or equal to 2.

Example

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#include <iostream>
#include <vector>
#include <complex>
#include "kp_litho_img.h"

// Test function
void test_kcv_slope_acc() {
    const size_t rows = 5;
    const size_t cols = 5;
    // Create an input image.
    std::vector<double> src(rows * cols);
    double src_data[5][5] = {
        {0, 0, 0, 0, 0},
        {0, 1, 1, 1, 0},
        {0, 1, 0, 1, 0},
        {0, 1, 1, 1, 0},
        {0, 0, 0, 0, 0}
    };
    for (size_t i = 0; i < rows; i++) {
        for (size_t j = 0; j < cols; j++) {
            src[i * cols + j] = src_data[i][j];
        }
    }
    // Create an output image.
    std::vector<double> dst(rows * cols);
    // Call the function.
    cv::kcv_slope_acc(src.data(), rows, cols, dst.data());
    // Print the result.
    std::cout << "Gradient Image:\n";
    for (size_t i = 0; i < rows; i++) {
        for (size_t j = 0; j < cols; j++) {
            std::cout << dst[i * cols + j] << " ";
        }
        std::cout << "\n";
    }
}
int main() {
    test_kcv_slope_acc();
    return 0;
}

Output:

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Gradient Image:
0 0 0 0 0 
0 0.707107 0 0.707107 0 
0 0 0 0 0 
0 0.707107 0 0.707107 0 
0 0 0 0 0
Parent topic: Interface Definition