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Abstract: Edge detection technique serves as a preprocessing step for many IMAGE PROCESSING algorithms such as image enhancement, image segmentation, tracking and image/video coding. The edge ...

The development of in vivo imaging and optogenetic tools makes it possible to control neural circuit activities in an all-optical, closed-loop manner, but such applications are limited by the lack of ...

Deep convolutional neural networks (DCNNs) and the ventral visual pathway share vast architectural and functional similarities in visual challenges such as object recognition. Recent insights have ...

Neurons in primate V4 exhibit various types of selectivity for contour shapes, including curves, angles, and simple shapes. How are these neurons organized in V4 remains unclear. Using intrinsic ...

Image processing is one of the major field which is gaining more and more importance in day to day life. Starting from simple image classification to complex autonomous driving, image processing is ...

In this series of four articles, fundamentals, as well as advanced topics of image processing using MATLAB, are discussed. The articles cover basic to advanced functions of MATLAB’s image processing ...