scipy.ndimage is a submodule of SciPy which is mostly used for performing an image related operation
It is now deprecated we can not use the misc package on the latest version scipy.
If we want to show image and perform an operation on images then we can use
imageio package to write and read images with the following code.
import imageio
f=imageio.imread('img.jpg')
import matplotlib.pyplot as plt
plt.imshow(f)
plt.show()
#note you can upload your own images to show the image(img.jpg).
If we want to flip the images of the actual image using this then we can use flipud() of numpy
import numpy as np flip_ud_face = np.flipud(f) plt.imshow(flip_ud_face) plt.show()
Rotate the image at particular angle in scipy.import numpy as np from scipy import ndimage, misc s=ndimage.rotate(f, 45) plt.imshow(s) plt.show()Code to blur imageimport numpy as np from scipy import ndimage, misc #s=ndimage.rotate(f, 45) s=ndimage.gaussian_filter(f, sigma=3) plt.imshow(s) plt.show()http://scipy-lectures.org/advanced/image_processing/
# DATA Science ( 7 to 8 PM)
ReplyDelete# Matching two Images using Nd-Image(SciPy)
import imageio
import numpy as np
f = input("Name of First Image :-\t")
g = input("Name of Second Image you want to Match :-\t")
f1 = imageio.imread(f)
g1 =imageio.imread(g)
import matplotlib.pyplot as plt
plt.imshow(f1)
plt.show()
plt.imshow(g1)
plt.show()
if np.all(f == g):
print("Image is Matched")
else:
print("Image Un-Matched")
#read image
ReplyDeleteimport cv2
img=cv2.imread("C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg")
cv2.imshow("output",img)
cv2.waitKey(0)
#read and write image
ReplyDeleteimport cv2
img=cv2.imread("C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg")
cv2.imshow("output",img)
cv2.imwrite("open.jpg",img)
cv2.imwrite("open.png",img)
cv2.waitKey(0)
#show height and width pixel value
ReplyDeleteimport cv2
img=cv2.imread("C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg")
cv2.imshow("output",img)
print(img.shape)
print("height pixel value:-",img.shape[0])
print("width pixel value:-",img.shape[1])
cv2.waitKey(0)
#first method
ReplyDelete#convert colorfull image to grey image
import cv2
img=cv2.imread("C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg")
cv2.imshow("show",img)
cv2.waitKey(0)
grey_col=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
cv2.imshow("showing",grey_col)
cv2.waitKey(0)
#second method
ReplyDelete#convert colorfull image to grey image
import cv2
img=cv2.imread("C:\\Users\\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg",0)
cv2.imshow("show",img)
cv2.waitKey(0)
#pure binary image(black and white)
ReplyDeleteimport cv2
img=cv2.imread("C:\\Users\\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg",0)
cv2.imshow("s",img)
cv2.waitKey(0)
ret,bw=cv2.threshold(img,127,255,cv2.THRESH_BINARY)
cv2.imshow("binary",bw)
cv2.waitKey(0)
print(ret)
#extract RGB color
ReplyDeleteimport cv2
import numpy as np
img=cv2.imread("c")
cv2.imshow("output",img)
cv2.waitKey(0)
B,G,R=cv2.split(img)
zeros=np.zeros(img.shape[:2],dtype="uint8")
cv2.imshow("Red",cv2.merge([zeros,zeros,R]))
cv2.imshow("Green",cv2.merge([zeros,G,zeros]))
cv2.imshow("Blue",cv2.merge([B,zeros,zeros]))
cv2.waitKey(0)
#campare image
ReplyDeleteimport cv2
import numpy as np
img=cv2.imread('C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg')
numpydata =np.array(img)
img1=cv2.imread('C:\\Users\\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg') #7997
numpydata1=np.array(img1)
if np.all(numpydata==numpydata1):
print("same image")
else:
print("not same")
cv2.imshow("open",img)
cv2.waitKey(0)
cv2.imshow("open1",img1)
cv2.waitKey(0)
import PIL
ReplyDeleteimport numpy as np
img=Image.open('C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg')
numpydata =np.array(img)
img1=Image.open('C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301507997.jpg')
numpydata1=np.array(img1)
if np.all(numpydata==numpydata1):
print("same image")
else:
print("not same")
#image translation
ReplyDeleteimport cv2
import numpy as np
img=cv2.imread("C:\\Users\\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg")
height,width=img.shape[:2]
print(height)
print(width)
quarter_height,quarter_width=height/4,width/4
print(quarter_height)
print(quarter_width)
T=np.float64([[1,0,quarter_width],
[0,1,quarter_height]])
print(T)
img_tra=cv2.warpAffine(img,T,(width,height))
cv2.imshow("original image",img)
cv2.imshow("translation",img_tra)
cv2.waitKey(0)
#hue:0-180,saturation:0-255,value:0-255
ReplyDeleteimport cv2
img=cv2.imread("C:\\Users\DELL\\Pictures\\cdgi\\FB_IMG_1475301504207.jpg")
img_hsv=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
cv2.imshow("hsv",img_hsv)
cv2.imshow("hue:-",img_hsv[:,:,0])
cv2.imshow("saturation:-",img_hsv[:,:,1])
cv2.imshow("value:-",img_hsv[:,:,2])
cv2.waitKey(0)