From a67438c203dd1b95d464a2482795d27318e00592 Mon Sep 17 00:00:00 2001 From: Cyril Hrubis Date: Fri, 29 Jun 2012 23:01:26 +0200 Subject: [PATCH] doc: filters.txt spellchecks. --- doc/filters.txt | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/filters.txt b/doc/filters.txt index 9f6c0120..d685bb15 100644 --- a/doc/filters.txt +++ b/doc/filters.txt @@ -488,11 +488,11 @@ O(x,y)=\sum_{i=-\infty}^{\infty}\sum_{j=-\infty}^{\infty}I(x-i,y-j) \cdot K(i,j) \] ------------------------------------------------------------------------------- -The K denotes convolution kernel and in practice, due to computional +The K denotes convolution kernel and in practice, due to computational complexity, the i and j are bounded in relatively small intervals. For example if i and j are in (-1,1) the kernel size is 3x3. -Note that pixel values around the image cornes are undefined. The linear +Note that pixel values around the image corners are undefined. The linear convolution in GFXprim simply uses the corner pixel values for all pixels outside the image. @@ -514,7 +514,7 @@ GP_Context *GP_FilterLaplaceAlloc(const GP_Context *src, GP_ProgressCallback *callback); ------------------------------------------------------------------------------- -Discrete laplace filter that produces a second derivative of the original +Discrete Laplace filter that produces a second derivative of the original image. The convolution kernel is defined as: @@ -558,7 +558,7 @@ GP_Context *GP_FilterEdgeSharpeningAlloc(const GP_Context *src, float w, GP_ProgressCallback *callback); ------------------------------------------------------------------------------- -Laplace based edge sharpening filter, substracts weighted second derivative +Laplace based edge sharpening filter, subtracts weighted second derivative from the original image. [latex, laplacian_edge_sharpening.png, 140] -- 2.11.4.GIT