# -*- coding: utf-8 -*- """ Created on Thu Apr 12 14:13:34 2018 @author: Armando """ import ReadIM from skimage import exposure import cv2 import numpy as np from functions_utile import draw_rectangle, image_correlation, test_homography, magnification """Traiter juste une image aves la calibration déjà faite :D""" working_directory = "E:\\Donnees\\ArmandoBulle\\python_treatement\\PLIF_test\\" #If you are working with DaViS here is where you write the name of the file image = [] vbuff, vatts = ReadIM.extra.get_Buffer_andAttributeList(working_directory + 'donnees\\20180312_testeauXG25ppm_1\\B00350.im7') v_array, vbuff = ReadIM.extra.buffer_as_array(vbuff) img_rescaled = exposure.rescale_intensity(v_array) img_rescaled = img_rescaled[0] image = img_rescaled image_left= image.copy() image_left, rectangle_left = draw_rectangle(image_left) #Obtain the image zone right image_right= image.copy() image_right, rectangle_right = draw_rectangle(image_right) #Obtain the homography between both images h , status = image_correlation(image_left,image_right) image_right = cv2.warpPerspective(image_right, h, (image_left.shape[1],image_left.shape[0])) image_ratio = np.divide(image_right,image_left) for y in range(len(image_ratio)-1): for x in range(len(image_ratio[0])-1): if np.isinf(image_ratio[y][x]): image_ratio[y][x] = 0 elif np.isnan(image_ratio[y][x]): image_ratio[y][x] = 0 cv2.namedWindow("Final Source Image",cv2.WINDOW_NORMAL) cv2.imshow("Final Source Image", image_ratio) cv2.waitKey(0) cv2.destroyAllWindows() image_ratio = cv2.cvtColor(image_ratio, cv2.COLOR_GRAY2BGR) cv2.imwrite(working_directory + 'Super_position_images_test.jpg', image_ratio) cv2.imwrite(working_directory + 'Super_position_images_test.png', image_ratio) cv2.imwrite(working_directory + 'Super_position_images_test.tiff', image_ratio) rectangle_final = draw_rectangle(image_ratio)[1] image_ratio =image_ratio[rectangle_final[0][1]:rectangle_final[1][1],rectangle_final[0][0]:rectangle_final[1][0]] cv2.imwrite(working_directory + 'Super_position_images_test2.tiff', image_ratio)