I am taking thermography pictures in python. I want the camera to detect our square samples, zoom in, and snip the outer edges and apply the temperature gradient. As of now, I have to manually take each pixel, run it through another code in matlab to snip it and get the temperature gradient. An help would be appreciated!

I wonder if image detection could be helpful here.

Import the necessary Libraries

import cv2
import numpy as np
import matplotlib.pyplot as plt

Read image from disk.

img = cv2.imread('Ganesh.jpg')

Convert BGR image to RGB

image_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

Apply Canny edge detection

edges = cv2.Canny(image= image_rgb, threshold1=100, threshold2=700)

Create subplots

fig, axs = plt.subplots(1, 2, figsize=(7, 4))

Plot the original image

axs[0].imshow(image_rgb)
axs[0].set_title('Original Image')

Plot the blurred image

axs[1].imshow(edges)
axs[1].set_title('Image edges')

Remove ticks from the subplots

for ax in axs:
ax.set_xticks([])
ax.set_yticks([])

Display the subplots

plt.tight_layout()
plt.show()`