Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
Abstract: Instance image segmentation task requires training with abundant annotated data to achieve high accuracy. Recently, conditional image synthesis has demonstrated its effectiveness in ...
Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...
SuperStore is a global retail company headquartered in the UK, serving thousands of customers across multiple international markets. Over recent years, the company has transitioned from small-scale ...
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