Dense learning by high dimensional SOMs composed of input-output fusion vectors for interactive image segmentation
Hotaka Takizawa · International Workshop on Advanced Image Technology (IWAIT) 2019 · 2019
This study proposes an interactive image segmentation method based on high dimensional self organizing maps (SOMs). The proposed method was applied to gray-scale and color images. The experimental results demonstrated that higher dimensional SOMs were able to achieve more accurate segmentation.