We isolate just the green portion or band of an image.
As we did for the previous recipe, we need to place the dusi_leo.png
image into the folder /constr/pics1
.
Execute the program shown as before.
#image_get_green_1.py #>>>>>>>>>>>>>>>>>> import ImageEnhance import Image red_frac = 1.0 green_frac = 1.0 blue_frac = 1.0 im_1 = Image.open("/a_constr/pics1/dusi_leo_1.jpg") # split the image into individual bands source = im_1.split() R, G, B = 0, 1, 2 # Assign color intensity bands, zero for red and blue. red_band = source[R].point(lambda i: i * 0.0) green_band = source[G] blue_band = source[B].point(lambda i: i * 0.0) new_source = [red_band, green_band, blue_band] # Merge (add) the three color bands im_2 = Image.merge(im_1.mode, new_source) im_2.show()
The Image.split()
function separates the three color bands of red, green, and blue in the original JPG
image. The red band is source[0]
, the green band is source[1]
, and the blue band is [2]. JPG
images do not have a transparency (alpha) band. PNG
images can have an alpha band. If such a PNG
image is split()
, its transparency band would have been source[3]
. The amount of color of a specific pixel in the image is recorded as a byte of data. You can alter this amount by a similar proportion for each pixel in the split band in the line red_band = source[R].point(lambda i: i * proportion)
, where proportion is a number between 0.0
and 1.0
.
In this recipe, we eliminate all red and blue by using the value 0.0
for the proportion amount.
3.133.130.199