Abstract: We explore the potential of large-scale noisily labeled data to enhance feature learning by pretraining semantic segmentation models within a multimodal framework for geospatial applications ...
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: In this paper, a simplified neuro-computing structure in feed forward form aided by certain clustering algorithm for use in segmentation of images in complex background is proposed. The work ...
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