diff --git a/examples/mat-normalize.js b/examples/mat-normalize.js
new file mode 100644
index 0000000..b7f6da3
--- /dev/null
+++ b/examples/mat-normalize.js
@@ -0,0 +1,26 @@
+var cv = require('../lib/opencv');
+
+
+
+
+cv.readImage("./examples/files/mona.png", function(err, orig) {
+  if (err) throw err;
+  orig.convertGrayscale();
+
+  var mask = new cv.Matrix(orig.height(),orig.width(),cv.Constants.CV_8UC1);
+  var buf = Buffer(orig.height()*orig.width());
+  buf.fill(0);
+  for(var i=0;i<buf.length;i++){
+    buf[i] = (i%2===1)?0:255;
+  }
+  mask.put(buf);
+  orig.normalize(10,250,cv.Constants.NORM_TYPE_MASK,-1,mask);
+  /*
+  var window = new cv.NamedWindow('Mat-Normalize', 0);
+  window.show(orig);
+  window.blockingWaitKey(0, 50);
+  setTimeout(function(){
+    // keep the windows 30sec open
+  },30000);
+  */
+});
diff --git a/src/Matrix.cc b/src/Matrix.cc
index 144f4bc..a76d1b3 100755
--- a/src/Matrix.cc
+++ b/src/Matrix.cc
@@ -321,12 +321,43 @@ NAN_METHOD(Matrix::Normalize) {
 	if (!args[1]->IsNumber())
     NanThrowTypeError("max is required (argument 2)");
 
-	int min = args[0]->Uint32Value();
-	int max = args[1]->Uint32Value();
+	int type = cv::NORM_MINMAX;
+	if (args[2]->IsNumber()){
+		type = args[2]->Uint32Value();
+		if (
+			(type!=cv::NORM_MINMAX) ||
+			(type!=cv::NORM_INF) ||
+			(type!=cv::NORM_L1) ||
+			(type!=cv::NORM_L2) ||
+			(type!=cv::NORM_L2SQR) ||
+			(type!=cv::NORM_HAMMING) ||
+			(type!=cv::NORM_HAMMING2) ||
+			(type!=cv::NORM_RELATIVE) ||
+			(type!=cv::NORM_TYPE_MASK)
+		){
+			NanThrowTypeError("type value must be NORM_INF=1, NORM_L1=2, NORM_L2=4, NORM_L2SQR=5, NORM_HAMMING=6, NORM_HAMMING2=7, NORM_TYPE_MASK=7, NORM_RELATIVE=8, NORM_MINMAX=32 ");
+		}
+	}
+	int dtype = -1;
+	if (args[3]->IsNumber()){
+		dtype = args[3]->IntegerValue();
+	}
+
+	double min = args[0]->NumberValue();
+	double max = args[1]->NumberValue();
+
 
 	Matrix *self = ObjectWrap::Unwrap<Matrix>(args.This());
 	cv::Mat norm;
-	cv::normalize(self->mat, norm,min,max, cv::NORM_MINMAX);
+
+	cv::Mat mask;
+	if (args[4]->IsObject()){
+		Matrix *mmask = ObjectWrap::Unwrap<Matrix>( args[4]->ToObject() );
+		mask = mmask->mat;
+	}
+
+
+	cv::normalize(self->mat, norm,min,max, type, dtype, mask);
 
 	norm.copyTo(self->mat);