Image processing with opencv (C++)
1.RW image
Reading and showing a color image
Transferring the color image to a gray image
2.Transform intensity
Transforming the 256-level gray image into 128, 64,and 32 intensity level
Resizing the 256-level gray image into a 64X image using
。[the nearest neighbor interpolation],
。[the bilinearinterpolation],
。[the bicubic interpolation],respectively
created date:2013/10/01
1.Spatial filtering
apply averageing, median filters.
apply image **sharpening** based on Laplacian mask and **unsharp** masking .
created on 2013/11/12.
reference: http://blog.csdn.net/huangli19870217/article/details/12942759
2.Frequency domain filtering (low)
Apply **ILPF,BLPF,GLPF** to an input image .
created on 2013/11/12.
Copyright (c) 60247059s chen-lin-yu. All rights reserved.
reference: http://blog.csdn.net/huangli19870217/article/details/12942759
3.Frequency domain filtering (hight)
Apply IHPF,BHPF,GHPF to an input image.
created on 2013/11/12.
reference: http://blog.csdn.net/huangli19870217/article/details/12942759
You may want to change FILEPATH to you test image's location I've edit the Scheme's working directory to $(SRCROOT) ####IP2 Created on MacOS 10.9 Xcode 5.0