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+#X text -344 367 written by Yves Degoyon ( ydegoyon@gmail.com );
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+#X text 373 289 value to correct the theshold;
+#X text 390 346 MaxValue (default 255);
+#X text 367 325 inverse mode ( default 0 );
+#X text -356 -79 Thresholding is used to segment an image by setting
+all pixels whose intensity values are above a threshold to a foreground
+value and all the remaining pixels to a background value.;
+#X text -354 66 Whereas the conventional thresholding operator uses
+a global threshold for all pixels \, adaptive thresholding changes
+the threshold dynamically over the image. This more sophisticated version
+of thresholding can accommodate changing lighting conditions in the
+image \, e.g. those occurring as a result of a strong illumination
+gradient or shadows.;
+#X text -325 205 - zero otherwise;
+#X text -351 168 Adaptive thresholding sets a pixel dst(x \, y) value
+to:;
+#X text -325 190 - MaxValue (see MaxValue inlet) if src(x \, y) > T(x
+\, y);
+#X text -347 238 Where T(x \, y) is a threshold calculated individually
+for each pixel. For the method ADAPTIVE_THRESH_MEAN_C the threshold
+value is the mean of a blockSize x blockSize (see blocksize inlet)
+neighborhood of (x \, y) \, minus dim parameter value (see dim message).
+;
+#X text -347 314 For the method ADAPTIVE_THRESH_GAUSSIAN_C the threshold
+value is the weighted sum (i.e. cross-correlation with a Gaussian window)
+of a blockSize x blockSize neighborhood of (x \, y) \, minus dim parameter
+value.;
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+#X text 356 245 1 = CV_ADAPTIVE_THRESH_GAUSSIAN_C;
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+#X text -356 -103 pix_opencv_athreshold :;
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