blob: beaa92cdec8d9abd81e2f34065c6231e36f751d5 [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
# Image Sample Pairing
# Blends two images together
#
# INPUT PARAMETERS:
# ---------------------------------------------------------------------------------------------
# NAME TYPE DEFAULT MEANING
# ---------------------------------------------------------------------------------------------
# img_in1 Matrix --- First input image
# img_in2 Matrix --- Second input image
# weight Double --- The weight given to the second image.
# 0 means only img_in1, 1 means only img_in2 will be visible
# RETURN VALUES
# ---------------------------------------------------------------------------------------------
# img_out Matrix --- Output image
# ---------------------------------------------------------------------------------------------
m_img_sample_pairing = function(Matrix[Double] img_in1, Matrix[Double] img_in2, Double weight) return (Matrix[Double] img_out) {
if (weight < 0 | 1 < weight) {
print("Invalid weight. Set weight to 0.5")
weight = 0.5
}
img_out = (1 - weight) * img_in1 + weight * img_in2
}