Morphological Operations

Related lectures (30)

Page 2 of 3

Explores image processing in 2D and 3D, covering ideal imaging conditions, histogram analysis, tools, 3D reconstruction steps, and visualization.

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

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

Introduces segmentation techniques, from intensities to objects and measurements generation.

Explores soil sealing impact, land use statistics, image segmentation, and random forest classification for sustainable land management.

Emphasizes the need for independent channels when detecting objects in images.

Introduces quantitative imaging concepts for civil engineers, covering resolution, optics, image quality, and 3D measurements.

Explores Fourier Transform, frequency filtering, segmentation, and particle size estimation using image analysis techniques.

Covers practical aspects of using Fiji for everyday tasks in biological imaging.

Delves into choosing a proper feature size for image analysis in life sciences, presenting a Rule Of Thumb for defining object size in pixels.