public SaliencyResult saliencyalgorithmInterface(ImageObj imgobj, String method) {
// TODO Auto-generated method stub
float min = Float.MAX_VALUE;
float max = Float.MIN_VALUE;
String imgpath = imgobj.getSourcePath();
int k_num = imgobj.getK_num();
SaliencyResult result = new SaliencyResult();
Mat img = Highgui.imread(imgpath, Highgui.CV_LOAD_IMAGE_GRAYSCALE);
Mat saliencyMap = new Mat();
saliencyMap.create(img.rows(), img.cols(), CvType.CV_16U);
int HistGram[] = new int[256];
int Gray[] = new int[img.cols() * img.rows()];
int Dist[] = new int[256];
float DistMap[] = new float[img.rows() * img.cols()];
for (int row = 0; row < img.rows(); row++) {
int CurIndex = row * img.cols();
for (int col = 0; col < img.cols(); col++) {
HistGram[(int) (img.get(row, col)[0])]++;
Gray[CurIndex] = (int) (img.get(row, col)[0]);
CurIndex++;
}
}
for (int Y = 0; Y < 256; Y++) {
int Value = 0;
for (int X = 0; X < 256; X++) Value += Math.abs(Y - X) * HistGram[X];
Dist[Y] = Value;
}
for (int row = 0; row < img.rows(); row++) {
int CurIndex = row * img.cols();
for (int col = 0; col < img.cols(); col++) {
DistMap[CurIndex] = Dist[Gray[CurIndex]];
if (DistMap[CurIndex] < min) min = DistMap[CurIndex];
if (DistMap[CurIndex] > max) max = DistMap[CurIndex];
CurIndex++;
}
}
for (int row = 0; row < img.rows(); row++) {
int CurIndex = row * img.cols();
for (int col = 0; col < img.cols(); col++) {
saliencyMap.put(row, col, partTwo((DistMap[CurIndex] - min) / (max - min) * 255));
CurIndex++;
}
}
new findMarkUtil();
int nums[] = null;
if (method == "kmeans") {
nums = findMarkUtil.findMarkUtil_kmeans(saliencyMap, k_num, 255, 0, 5);
} else if (method == "random") {
nums = findMarkUtil.findMarkUtil_random(saliencyMap, k_num, 255);
}
result.setK_num(k_num);
result.setSource(imgpath);
result.setResult(nums);
result.setSaliency(saliencyMap);
return result;
}
