[opencv] 30/53: correct bug in fastmeans (ref #7899) (#8757)

Nobuhiro Iwamatsu iwamatsu at moszumanska.debian.org
Sun Aug 27 23:27:05 UTC 2017


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iwamatsu pushed a commit to annotated tag 2.4.13.3
in repository opencv.

commit 01e34b6a911d86155903d2d7057f309ef6cf459f
Author: krishraghuram <krish.raghuram at gmail.com>
Date:   Tue May 23 15:10:49 2017 +0530

    correct bug in fastmeans (ref #7899) (#8757)
---
 modules/photo/doc/denoising.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/photo/doc/denoising.rst b/modules/photo/doc/denoising.rst
index 0894275..6ac7317 100644
--- a/modules/photo/doc/denoising.rst
+++ b/modules/photo/doc/denoising.rst
@@ -40,7 +40,7 @@ Modification of ``fastNlMeansDenoising`` function for colored images
 
     :param h: Parameter regulating filter strength for luminance component. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise
 
-    :param hForColorComponents: The same as h but for color components. For most images value equals 10 will be enought to remove colored noise and do not distort colors
+    :param hColor: The same as h but for color components. For most images value equals 10 will be enought to remove colored noise and do not distort colors
 
 The function converts image to CIELAB colorspace and then separately denoise L and AB components with given h parameters using ``fastNlMeansDenoising`` function.
 
@@ -85,6 +85,6 @@ Modification of ``fastNlMeansDenoisingMulti`` function for colored images sequen
 
     :param h: Parameter regulating filter strength for luminance component. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise.
 
-    :param hForColorComponents: The same as h but for color components.
+    :param hColor: The same as h but for color components.
 
 The function converts images to CIELAB colorspace and then separately denoise L and AB components with given h parameters using ``fastNlMeansDenoisingMulti`` function.

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