Image segmentation remains a cornerstone of computer vision, facilitating the partitioning of images into meaningful regions for analysis and interpretation. Recent advancements have seen the ...

The authors explain why "merging" in a variational framework leads to a fast multiscale, multichannel algorithm, with a pyramidal structure. The obtained algorithm is O (n ln n), where n is the number ...

Introduction This paper presents a novel multi-label and interactive image segmentation algorithm that draws analogies to electric network circuits solutions from electrical engineering. Treating the ...

Introduction This paper presents a graph cut approach to the image segmentation task. Considering the image to be a directed graph with two nodes representing the source (object) and the sink ...

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image.

Segmentation has become a widely used tool in modern image analysis. Typical methods are highly nonlinear and often ad hoc, and none so far have proved accessible to detailed statistical analysis even ...

Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...