A Novel Approach to Optimizing Convolutional Neural Networks for Improved Digital Image Segmentation
Kongduo Xing,
Junhua Ku,
Jie Zhao
Abstract:To divide a digital image into individual parts that share similar characteristics is known as digital image segmentation, and it is a vital research subject in the field of computer vision. Object recognition, medical imaging, surveillance, and video processing are just a few of the many real-world contexts where this study could prove useful. While digital image segmentation research has come a long way, there are still certain obstacles to overcome. Segmentation algorithms frequently encounter challenges in… Show more
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