Abstract: This exploratory study evaluates Gaussian blur as a baseline smoothing technique to reduce noise in digital plant images. Using Python with OpenCV, NumPy, Matplotlib, and scikit-image, we ...

(Nanowerk Spotlight) In the age of big data, we are generating more images than we can actually process. Autonomous vehicles, medical scanners, and quality control systems rely heavily on ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to formally ...

Abstract: Color analysis is a significant source in many image processing processes consisting of automotive vehicle navigation, protest detection, traffic sign recognition, skin color analysis, and ...

filt_2D = cv2.filter2D(img,-1,kernel) #Convolution using the kernel we provide blur = cv2.blur(img,(5,5)) #Convolution with a normalized filter. Same as above for this example. blur_gaussian = ...