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