Image segmentation refers to the process of partitioning a digital image into distinct regions that correspond to objects or areas of interest. Classical approaches can be grouped into thresholding, ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

The primary resultant of Diabetes and key cause of vision loss is DR. For prompt intervention and efficient management of DR, early diagnosis and precise segmentation of retinal lesions are essential.

Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...

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.

Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore ...

Abstract: This paper describes an algorithm for color segmentation of images obtained by the computer vision system of an autonomous underwater vehicle. The main goal of image segmentation is further ...

1 ICT Division, Jamuna Bank PLC., Dhaka, Bangladesh. 2 Department of Physics, Govt. H. S. S College, Magura, Bangladesh. 3 Department of Mathematics, Uttara University, Dhaka, Bangadesh. In this paper ...

Cancer segmentation is a critical task in medical imaging that involves identifying and delineating cancerous regions within images such as MRI scans, CT scans, or histopathology slides. Several ...

Image segmentation is a method of dividing a digital image into subgroups called image segments, reducing the complexity of the image and enabling further processing or analysis of each image segment.