* Various Saliency Detection Implementation using C language 
- reImplementation below papers
  1. "SALIENCY DETECTION USING MAXIMUM SYMMETRIC SURROUND", ICIP 2010(https://infoscience.epfl.ch/record/151989/files/ICIP2010.pdf)  
  2. "Frequency-tuned Salient Region Detection", CVPR 2009(https://infoscience.epfl.ch/record/135217/files/1708.pdf)
 - No 3rd party lib dependency, OpenCV was used only for image I/O handling.  

* File Description
- Data.h: Arrays For MSS and FT algorithms 
- Vision_Test.cpp: main fuction
- GaussianBlur.h: 3 by 3 separable gaussian kernel fuction
- Param.h: parameters setting for test image size 
- SaliencyFT.h: FT Algorithm implementation  
- SaliencyMSS.h: MSS Algorithm implementation  
- Util.h: image I/O handling for OpenCV.

* Program Description
- You can use any kind of OpenCV Version.
- For the minimization of dynamic memory allocation, I sometimes use array buffer. Thus, You must set the width and height(IMAGE_WIDTH, IMAGE_HEIGHT in Param.h) of the image in advance. 
- OpenCV was used only for image reading fuction(ex: cvLoadImage("mandrill.bmp", CV_LOAD_IMAGE_COLOR)).
- To detect saliency, need lab color model. Thus, this program use only use color image format.
- If you run the main fuction(Vision_Test.cpp), you can see the results images(SaliencyMSS.bmp, SaliencyFT) of MSS and FT Saliency.