def findMask(images_name):
# for each image calculates its mask
compare_images = []
for img_name in images_name :
img = cv2.imread(img_name)
compare_images = compare_images + [calc_binary_image2.calcMask(img,img_name)]
return compare_images
def compareBySize(images_name):
global H,compare_images,nu
print help_message
######### STEP 1 #################
# for each image calculates its mask
compare_images = []
for img_name in images_name :
img = cv2.imread(img_name)
compare_images = compare_images + [calc_binary_image2.calcMask(img,img_name)]
######## STEP 2 ##################
# destroy old windows
cv2.destroyWindow('config')
cv2.destroyWindow('floodfill')
cv2.destroyWindow('median_blur')
cv2.destroyWindow('erode')
cv2.destroyWindow('final_img')
cv2.destroyWindow('img')
cv2.destroyWindow('canny')
print '''
STEP 2 (comparison)
s - look for the more similar images with the chosen data
q - EXIT
'''
# creates config window with its trackbars
cv2.namedWindow('config2')
cv2.createTrackbar('eps1','config2',100,1000,dummy)
cv2.createTrackbar('eps2','config2',50,1000,dummy)
cv2.createTrackbar('eps3','config2',25,1000,dummy)
cv2.createTrackbar('eps4','config2',150,1000,dummy)
cv2.createTrackbar('eps5','config2',150,1000,dummy)
cv2.createTrackbar('eps6','config2',150,1000,dummy)
cv2.createTrackbar('eps7(area)','config2',150,5000,dummy)
cv2.createTrackbar('show all input images', 'config2',0,2,onShowImages)
cv2.createTrackbar('show all masks','config2', 0,2,onMaskImages)
cv2.createTrackbar('show all selected masks','config2', 0,1,onShowImages)
# selects main image for comparison and calculates its moments
pimg = compare_images[0][0]
img = compare_images[0][1].copy()
moments = cv2.moments(pimg,True)
#print moments
nu = [moments['nu02']] + [moments['nu11']] + [moments['nu12']] + [moments['nu20']] + [moments['nu21']] + [moments['nu30']] + [moments['m00']]
#print nu
H = cv2.HuMoments(moments)
cv2.putText(img,str(nu[0:2]),(50,img.shape[0]-100),cv2.FONT_HERSHEY_SIMPLEX,0.5,(100,0,200))
cv2.putText(img,str(nu[2:4]),(50,img.shape[0]-75),cv2.FONT_HERSHEY_SIMPLEX,0.5,(100,0,200))
cv2.putText(img,str(nu[4:6]),(50,img.shape[0]-50),cv2.FONT_HERSHEY_SIMPLEX,0.5,(100,0,200))
cv2.putText(img,str(H[6:]),(50,img.shape[0]-25),cv2.FONT_HERSHEY_SIMPLEX,0.5,(100,0,200))
# compares pimg moments with all other images moments
imToShow = compare(nu,compare_images,0,0)
while True:
cv2.imshow('image',img)
key = cv2.waitKey(5)
# removes old windows and calculates the most similar images with the new values
if key == ord('s'):
for im in compare_images:
cv2.destroyWindow('im_'+str(im[2]))
cv2.destroyWindow('im_mask_'+str(im[2]))
cv2.destroyWindow('selected_'+str(im[2]))
cv2.imshow('image',img)
imToShow = compare(nu,compare_images,cv2.getTrackbarPos('show all input images','config2'), cv2.getTrackbarPos('sohw all selected masks','config2'))
# EXIT
if key == ord('q'):
return imToShow
