OpenCV
3.0.0-dev
Open Source Computer Vision
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Functions | |
void | cv::detailEnhance (InputArray src, OutputArray dst, float sigma_s=10, float sigma_r=0.15f) |
This filter enhances the details of a particular image. More... | |
void | cv::edgePreservingFilter (InputArray src, OutputArray dst, int flags=1, float sigma_s=60, float sigma_r=0.4f) |
Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications [53] . More... | |
void | cv::pencilSketch (InputArray src, OutputArray dst1, OutputArray dst2, float sigma_s=60, float sigma_r=0.07f, float shade_factor=0.02f) |
Pencil-like non-photorealistic line drawing. More... | |
void | cv::stylization (InputArray src, OutputArray dst, float sigma_s=60, float sigma_r=0.45f) |
Stylization aims to produce digital imagery with a wide variety of effects not focused on photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low contrast while preserving, or enhancing, high-contrast features. More... | |
void cv::detailEnhance | ( | InputArray | src, |
OutputArray | dst, | ||
float | sigma_s = 10 , |
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float | sigma_r = 0.15f |
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) |
void cv::edgePreservingFilter | ( | InputArray | src, |
OutputArray | dst, | ||
int | flags = 1 , |
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float | sigma_s = 60 , |
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float | sigma_r = 0.4f |
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) |
Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications [53] .
void cv::pencilSketch | ( | InputArray | src, |
OutputArray | dst1, | ||
OutputArray | dst2, | ||
float | sigma_s = 60 , |
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float | sigma_r = 0.07f , |
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float | shade_factor = 0.02f |
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) |
void cv::stylization | ( | InputArray | src, |
OutputArray | dst, | ||
float | sigma_s = 60 , |
||
float | sigma_r = 0.45f |
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) |
Stylization aims to produce digital imagery with a wide variety of effects not focused on photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low contrast while preserving, or enhancing, high-contrast features.