Update to 2.0.0 tree from current Fremantle build
[opencv] / apps / Hawk / demos / pyramid_segmentation.c
diff --git a/apps/Hawk/demos/pyramid_segmentation.c b/apps/Hawk/demos/pyramid_segmentation.c
deleted file mode 100644 (file)
index f16b4ff..0000000
+++ /dev/null
@@ -1,102 +0,0 @@
-IPLIMAGE  image[2], image0, image1;\r
-CvSize size;\r
-\r
-int  w0, h0,i;\r
-int  threshold1, threshold2;\r
-int  l,level;\r
-int sthreshold1, sthreshold2;\r
-int  l_comp;\r
-int block_size = 1000;\r
-float  parameter;\r
-double threshold;\r
-double rezult, min_rezult;\r
-CvFilter filter = CV_GAUSSIAN_5x5;\r
-CvConnectedComp *cur_comp, min_comp;\r
-CvSeq *comp;\r
-CvMemStorage *storage;\r
-\r
-CvPoint pt1, pt2;\r
-\r
-void ON_SEGMENT(int a)\r
-{      \r
-    \r
-    cvPyrSegmentation(image0, image1, storage, &comp, \r
-                      level, threshold1, threshold2);\r
-\r
-       l_comp = comp->total;\r
-\r
-    printf("  l_comp = %d \n ",l_comp);\r
-       i = 0;\r
-    min_comp.value = 0;\r
-       while(i<l_comp)\r
-       {\r
-        cur_comp = (CvConnectedComp*)cvGetSeqElem ( comp, i, 0);\r
-        if(fabs(CV_RGB(255,0,0)- min_comp.value)>\r
-           fabs(CV_RGB(255,0,0)- cur_comp->value))\r
-           min_comp = *cur_comp;\r
-/*          \r
-    pt1.x = cur_comp->rect.x;\r
-       pt2.x = cur_comp->rect.x + cur_comp->rect.width;\r
-       pt1.y = cur_comp->rect.y;\r
-       pt2.y = cur_comp->rect.y + cur_comp->rect.height;\r
-    cvRectangle(image1, pt1, pt2, 255, 3);\r
-*/              \r
-       i++;\r
-       }\r
-/*    \r
-    pt1.x = min_comp.rect.x;\r
-       pt2.x = min_comp.rect.x + min_comp.rect.width;\r
-       pt1.y = min_comp.rect.y;\r
-       pt2.y = min_comp.rect.y + min_comp.rect.height;\r
-    cvRectangle(image1, pt1, pt2, 255, 3);\r
-*/    \r
-//    bitmap1 = get_image_cv(image1);\r
-    show_iplimage("Segmentation", image1);\r
-\r
-\r
-};\r
-\r
-image[0] = load_iplimage("..\\Bitmaps\\parrot.bmp");\r
-\r
-named_window("Source", 0);\r
-show_iplimage("Source", image[0]);\r
-wait_key(0);\r
-\r
-printf("\n i = %d width = %d height = %d", i,size.width, size.height);   \r
-\r
-\r
-named_window("Segmentation", 0);\r
-\r
-\r
-storage = cvCreateMemStorage ( block_size );\r
-\r
-image0 = cvCreateImage(cvSize(image[0]->width, image[0]->height), IPL_DEPTH_8U, 3);\r
-image1 = cvCreateImage(cvSize(image[0]->width, image[0]->height), IPL_DEPTH_8U, 3);\r
-cvCopy(image[0],image0,0); \r
-image0->roi = NULL;\r
-image1->roi = NULL;\r
-// segmentation of the color image\r
-l = 1;\r
-level =4;\r
-threshold1 =255;\r
-threshold2 =30;\r
-\r
-\r
-ON_SEGMENT(1);\r
-\r
-sthreshold1 = create_slider("Threshold1", "Segmentation", &threshold1, 255, ON_SEGMENT);\r
-sthreshold2 = create_slider("Threshold2", "Segmentation",  &threshold2, 255, ON_SEGMENT);\r
-\r
-show_iplimage("Segmentation", image1);\r
-wait_key(0);\r
-\r
-destroy_window("Segmentation");\r
-destroy_window("Source");\r
-\r
-cvReleaseMemStorage (&storage );\r
-\r
-\r
-cvReleaseImage  (&image[0]);\r
-cvReleaseImage  (&image0);\r
-cvReleaseImage  (&image1);\r
-\r