Edge and Contour

Related lectures (29)

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Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Discusses edge detection techniques and the evolution of deep learning in neural networks.

Explores discrete histogram processing and spatial operators for image manipulation and noise reduction.

Covers edge detection, texture analysis, Canny's algorithm, filterbanks, and segmentation techniques.

Introduces image processing basics in Python, covering manipulation, grayscale conversion, edge detection, and convolution with kernels.

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Covers the basics of edge detection, including edge duality, discontinuities, descriptors, gradients, and magnitude measurement.

Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.

Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.

Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.