CVDec 4, 2016
A method for the segmentation of images based on thresholding and applied to vesicular textures
arXiv:1612.01131v117 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental method for researchers studying vesicular textures in image processing.
The paper tackles image segmentation by proposing a thresholding-based method to determine super-pixels, specifically applied to images with vesicular textures, but no concrete results or numbers are provided.
In image processing, a segmentation is a process of partitioning an image into multiple sets of pixels, that are defined as super-pixels. Each super-pixel is characterized by a label or parameter. Here, we are proposing a method for determining the super-pixels based on the thresholding of the image. This approach is quite useful for studying the images showing vesicular textures.