---

CUDAWatershed.h File Reference

CUDA-accelerated Watershed image segmentation. More...

#include "Watershed.h"

Go to the source code of this file.

Functions
template<typename GROUP_T, typename IMAGE_T> bool	init_gpu (state_t< GROUP_T, IMAGE_T > &state, int *eq_and_lower, watershed_gpu_state_t< GROUP_T, IMAGE_T > &gpu_state, unsigned int w, unsigned int h, unsigned int d)
template<class GROUP_T, typename IMAGE_T> bool	init_gpu_on_device (watershed_gpu_state_t< GROUP_T, IMAGE_T > &gpu_state, IMAGE_T *image, int imageongpu, unsigned int w, unsigned int h, unsigned int d)
template<typename GROUP_T, typename IMAGE_T> void	destroy_gpu (watershed_gpu_state_t< GROUP_T, IMAGE_T > &gpu_state)
template<typename GROUP_T, typename IMAGE_T> void	update_cuda (watershed_gpu_state_t< GROUP_T, IMAGE_T > &gpu_state, GROUP_T *segments_d)
void	guassian3D_gpu ()

---

Detailed Description

CUDA-accelerated Watershed image segmentation.

Definition in file CUDAWatershed.h.

---

Function Documentation

template<typename GROUP_T, typename IMAGE_T> void destroy_gpu (  watershed_gpu_state_t< GROUP_T, IMAGE_T > &    gpu_state )

Definition at line 500 of file CUDAWatershed.cu. Referenced by init_gpu, init_gpu_on_device, update_cuda, and Watershed::~Watershed.

void guassian3D_gpu (    )

template<typename GROUP_T, typename IMAGE_T> bool init_gpu (  state_t< GROUP_T, IMAGE_T > &    state, int *    eq_and_lower, watershed_gpu_state_t< GROUP_T, IMAGE_T > &    gpu_state, unsigned int    w, unsigned int    h, unsigned int    d )

Definition at line 442 of file CUDAWatershed.cu.

template<class GROUP_T, typename IMAGE_T> bool init_gpu_on_device (  watershed_gpu_state_t< GROUP_T, IMAGE_T > &    gpu_state, IMAGE_T *    image, int    imageongpu, unsigned int    w, unsigned int    h, unsigned int    d )

Definition at line 362 of file CUDAWatershed.cu. Referenced by Watershed::watershed.

template<typename GROUP_T, typename IMAGE_T> void update_cuda (  watershed_gpu_state_t< GROUP_T, IMAGE_T > &    gpu_state, GROUP_T *    segments_d )

Definition at line 562 of file CUDAWatershed.cu.

---