Many current microscopy methods increasingly rely on computation as an integral part of the imaging process. This model-based approach to optics—integrating optical system design with algorithmic ...
Abstract In the realm of computer vision (CV), balancing speed and accuracy remains a significant challenge. Recent efforts have focused on developing lightweight networks that optimize computational ...
Physicists at UC Santa Cruz and other institutes across California and New Mexico have developed a detection system that will ...
Last year, Taylor Stanberry caught 60 Burmese pythons with her bares hands—a state record. But this self-taught hunter says ...
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A Convolutional Neural Network (CNN) is a specialized deep learning architecture designed to automatically learn and extract features from images. Instead of treating every pixel independently, CNNs ...
Wan et al. (2018) proposed a method for fresh tomato maturity detection using HSV color space for segmentation and edge detection for shape analysis. The method demonstrated promising performance in ...
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