From 358ca04f4434e1a9239b028ea2b43489a68147e4 Mon Sep 17 00:00:00 2001
From: cascade256 <cascade256@users.noreply.github.com>
Date: Mon, 14 Dec 2015 17:41:47 -0800
Subject: [PATCH] Add a couple new methods, trying some different formatting.

---
 Matrix.md | 28 ++++++++++++++++++++++++++++
 1 file changed, 28 insertions(+)

diff --git a/Matrix.md b/Matrix.md
index 367e744..1abc5bb 100644
--- a/Matrix.md
+++ b/Matrix.md
@@ -49,6 +49,34 @@ Example:
     var zeroes = new Matrix.Zeroes(512, 512);
     var ones = new Matrix.Ones(512, 512);
 
+##Image Operations
+
+###absDiff(image1, image2)
+
+Sets this matrix to a image with the absolute difference between image1 and image2.
+
+**image1: Matrix**
+
+**image2: Matrix**
+
+**output: none**
+
+###adaptiveThreshold(maxVal, adaptiveMethod, thresholdType, blockSize, C)
+
+Returns the thresholded image. This matrix needs to be a single channel image. 
+
+**maxVal: number:** This is the value that pixels are set to if the conditions are satisfied. 255 for white should be fine for most cases.
+
+**adaptiveMethod: number:** This is how to set which method to use, 0 for ADAPTIVE_THRESH_MEAN_C, and 1 for ADAPTIVE_THRESH_GAUSSIAN_C.
+
+**thresholdType: number:** This is the type of threshold to do, 0 for THRESH_BINARY and 1 for THRESH_BINARY_INV.
+
+**blockSize: number:** This is the area around the pixel for comparing against.
+
+**C: number:** This is subtracted from the mean of every pixel.
+
+**output: Matrix**
+
 ##Accessing Data
 For color images, be careful with get, row, and col. They return a number that represents the pixel by bit-shifting all the channels together.