Upload a1

1 files changed, 14 insertions, 2 deletions

diff --git a/worksheets/a1_textrain.md b/worksheets/a1_textrain.md
index b588d1c..6ce1142 100644
--- a/worksheets/a1_textrain.md
+++ b/worksheets/a1_textrain.md
@@ -24,6 +24,10 @@ documentation](https://processing.org/reference/color_.html) and/or the
 [tutorial explaining color in
 Processing](https://processing.org/tutorials/color/).
 
+Here are a couple of questions to get you thinking about how to work with
+pixel arrays and colors in this format.  Note:  These are very brief questions
+in this first worksheet, so this may not take you long at all.  That's ok!
+
 
 ## Q1: Indexing
 
@@ -41,6 +45,12 @@ information from `inputImg` to help you.
 ```
 PImage inputImg = loadImage("test.jpg");
 
+// your code should work for any valid values for row and column, we've 
+// randomly picked the values (2, 2) here as an exmaple.
+int row = 2;
+int column = 2;
+
+// write your answer in terms of the row and column defined above
 int index1D = /* --- Fill this in --- */;
 ```
 
@@ -50,8 +60,10 @@ int index1D = /* --- Fill this in --- */;
 The image processing technique known as *thresholding* will be useful while
 creating your Text Rain. During the thresholding operation, if a pixel's
 grayscale value is less than `threshold`, then it becomes black. If the
-value is greater than `threshold`, it becomes white. You can use the green
-channel of the color as the grayscale value.
+value is greater than or equal to `threshold`, it becomes white. In the example below,
+assume the image has already been converted to grayscale.  This means the
+red, green, and blue channels are all equal.  So, you can get the grayscale
+value by accessing any one of the color channels red, green, or blue.
 
 In the code block below, write a Java code snippet for thresholding one pixel
 (`inputPixel`) to black or white.