more tweaking transform_affine_color_correction.md

docs/transform_affine_color_correction.md

@@ -13,7 +13,7 @@ Euclidean distance between the transformed source color values and the target co
 
  - **Parameters:**
     - rgb_img       - an RGB image with color chips visualized
-    - source_matrix - array of RGB color values (intensity in the range [0-1]) from the image to be corrected where each row is one color reference and the columns are organized as index,R,G,B; likely created with [plantcv.transform.get_color_matrix](get_color_matrix.md) or [plantcv.transform.detect_color_card](transform_detect_color_card.md)).
+    - source_matrix - array of RGB color values (intensity in the range [0-1]) from the image to be corrected where each row is one color reference and the columns are organized as index,R,G,B; likely created with [plantcv.transform.get_color_matrix](get_color_matrix.md).
     - target_matrix - array of target RGB color values (intensity in the range [0-1]) where each row is one color reference and the columns are organized as index,R,G,B; likely created with [plantcv.transform.std_color_matrix](std_color_matrix.md). 
 - **Example use:**
     - [Color Correction Tutorial](tutorials/transform_color_correction_tutorial.md)
@@ -34,9 +34,10 @@ from plantcv import plantcv as pcv
 pcv.params.debug = 'plot'
 
 # the source matrix needs to be computed form the RGB image, see the functions
-# plantcv.transform.create_color_card_mask and plantcv.transform.get_color_matrix
+# plantcv.transform.detect_color_card to make a mask and
+# plantcv.transform.get_color_matrix to make a matrix from that mask
 
-# using standard color values for the color card
+# using standard color values for the target
 tgt_matrix = pcv.transform.std_color_matrix(pos=2)
 
 corrected_img = pcv.transform.affine_color_correction(rgb_img=img,