added retina model, by Alexander Benoit

modules/contrib/include/opencv2/contrib/contrib.hpp

@@ -607,6 +607,7 @@ namespace cv
     CV_EXPORTS void polyfit(const Mat& srcx, const Mat& srcy, Mat& dst, int order);
 }
 
+#include "opencv2/contrib/retina.hpp"
 
 #endif
 

samples/cpp/retinaDemo.cpp

+//============================================================================
+// Name        : retinademo.cpp
+// Author      : Alexandre Benoit, benoit.alexandre.vision@gmail.com
+// Version     : 0.1
+// Copyright   : LISTIC/GIPSA French Labs, july 2011
+// Description : Gipsa/LISTIC Labs retina demo in C++, Ansi-style
+//============================================================================
+
+#include <iostream>
+#include <cstring>
+
+#include "HVStools/retina.hpp" // for retina processing
+#include <opencv/highgui.h>  // image IO
+
+void help(std::string errorMessage)
+{
+	std::cout<<"Program init error : "<<errorMessage<<std::endl;
+	std::cout<<"\nProgram call procedure : retinaDemo [processing mode] [Optional : media target] [Optional LAST parameter: \"log\" to activate retina log sampling]"<<std::endl;
+	std::cout<<"\t[processing mode] :"<<std::endl;
+	std::cout<<"\t -image : for still image processing"<<std::endl;
+	std::cout<<"\t -video : for video stream processing"<<std::endl;
+	std::cout<<"\t[Optional : media target] :"<<std::endl;
+	std::cout<<"\t if processing an image or video file, then, specify the path and filename of the target to process"<<std::endl;
+	std::cout<<"\t leave empty if processing video stream coming from a connected video device"<<std::endl;
+	std::cout<<"\t[Optional : activate retina log sampling] : an optional last parameter can be specified for retina spatial log sampling"<<std::endl;
+	std::cout<<"\t set \"log\" without quotes to activate this sampling, output frame size will be divided by 4"<<std::endl;
+	std::cout<<"\nExamples:"<<std::endl;
+	std::cout<<"\t-Image processing : ./retinaDemo -image lena.jpg"<<std::endl;
+	std::cout<<"\t-Image processing with log sampling : ./retinaDemo -image lena.jpg log"<<std::endl;
+	std::cout<<"\t-Video processing : ./retinaDemo -video myMovie.mp4"<<std::endl;
+	std::cout<<"\t-Live video processing : ./retinaDemo -video"<<std::endl;
+	std::cout<<"\nPlease start again with new parameters"<<std::endl;
+}
+
+int main(int argc, char* argv[]) {
+	// welcome message
+	std::cout<<"****************************************************"<<std::endl;
+	std::cout<<"* Retina demonstration : demonstrates the use of is a wrapper class of the Gipsa/Listic Labs retina model."<<std::endl;
+	std::cout<<"* This retina model allows spatio-temporal image processing (applied on still images, video sequences)."<<std::endl;
+	std::cout<<"* As a summary, these are the retina model properties:"<<std::endl;
+	std::cout<<"* => It applies a spectral whithening (mid-frequency details enhancement)"<<std::endl;
+	std::cout<<"* => high frequency spatio-temporal noise reduction"<<std::endl;
+	std::cout<<"* => low frequency luminance to be reduced (luminance range compression)"<<std::endl;
+	std::cout<<"* => local logarithmic luminance compression allows details to be enhanced in low light conditions\n"<<std::endl;
+	std::cout<<"* for more information, reer to the following papers :"<<std::endl;
+	std::cout<<"* Benoit A., Caplier A., Durette B., Herault, J., \"USING HUMAN VISUAL SYSTEM MODELING FOR BIO-INSPIRED LOW LEVEL IMAGE PROCESSING\", Elsevier, Computer Vision and Image Understanding 114 (2010), pp. 758-773, DOI: http://dx.doi.org/10.1016/j.cviu.2010.01.011"<<std::endl;
+	std::cout<<"* Vision: Images, Signals and Neural Networks: Models of Neural Processing in Visual Perception (Progress in Neural Processing),By: Jeanny Herault, ISBN: 9814273686. WAPI (Tower ID): 113266891."<<std::endl;
+	std::cout<<"* => reports comments/remarks at benoit.alexandre.vision@gmail.com"<<std::endl;
+	std::cout<<"****************************************************"<<std::endl;
+
+	// basic input arguments checking
+	if (argc<2)
+	{
+		help("bad number of parameter");
+		return -1;
+	}
+
+	bool useLogSampling = !strcmp(argv[argc-1], "log"); // check if user wants retina log sampling processing
+
+	std::string inputMediaType=argv[1];
+
+	// declare the retina input buffer... that will be fed differently in regard of the input media
+	cv::Mat inputFrame;
+	cv::VideoCapture videoCapture; // in case a video media is used, its manager is declared here
+
+	//////////////////////////////////////////////////////////////////////////////
+	// checking input media type (still image, video file, live video acquisition)
+	if (!strcmp(inputMediaType.c_str(), "-image") && argc >= 3)
+	{
+		std::cout<<"RetinaDemo: processing image "<<argv[2]<<std::endl;
+		// image processing case
+		inputFrame = cv::imread(std::string(argv[2]), 1); // load image in RGB mode
+	}else
+		if (!strcmp(inputMediaType.c_str(), "-video"))
+		{
+			if (argc == 2 || (argc == 3 && useLogSampling)) // attempt to grab images from a video capture device
+			{
+				videoCapture.open(0);
+			}else// attempt to grab images from a video filestream
+			{
+				std::cout<<"RetinaDemo: processing video stream "<<argv[2]<<std::endl;
+				videoCapture.open(argv[2]);
+			}
+
+			// grab a first frame to check if everything is ok
+			videoCapture>>inputFrame;
+		}else
+		{
+			// bad command parameter
+			help("bad command parameter");
+			return -1;
+		}
+
+	if (inputFrame.empty())
+	{
+		help("Input media could not be loaded, aborting");
+		return -1;
+	}
+
+
+	//////////////////////////////////////////////////////////////////////////////
+	// Program start in a try/catch safety context (Retina may throw errors)
+	try
+	{
+		// create a retina instance with default parameters setup, uncomment the initialisation you wanna test
+		cv::Ptr<cv::Retina> myRetina;
+
+		// if the last parameter is 'log', then activate log sampling (favour foveal vision and subsamples peripheral vision)
+		if (useLogSampling)
+			myRetina = new cv::Retina("params.xml", inputFrame.size(), true, cv::RETINA_COLOR_BAYER, true, 2.0, 10.0);
+		else// -> else allocate "classical" retina :
+			myRetina = new cv::Retina("params.xml", inputFrame.size());
+
+		// declare retina output buffers
+		cv::Mat retinaOutput_parvo;
+		cv::Mat retinaOutput_magno;
+
+		// processing loop with stop condition
+		bool continueProcessing=true; // FIXME : not yet managed during process...
+		while(continueProcessing)
+		{
+			// if using video stream, then, grabbing a new frame, else, input remains the same
+			if (videoCapture.isOpened())
+				videoCapture>>inputFrame;
+
+			// run retina filter
+			myRetina->run(inputFrame);
+			// Retrieve and display retina output
+			myRetina->getParvo(retinaOutput_parvo);
+			myRetina->getMagno(retinaOutput_magno);
+			cv::imshow("retina input", inputFrame);
+			cv::imshow("Retina Parvo", retinaOutput_parvo);
+			cv::imshow("Retina Magno", retinaOutput_magno);
+			cv::waitKey(10);
+		}
+	}catch(cv::Exception e)
+	{
+		std::cerr<<"Error using Retina : "<<e.what()<<std::endl;
+	}
+
+	// Program end message
+	std::cout<<"Retina demo end"<<std::endl;
+
+	return 0;
+}
+