An effective color image segmentation approach using neutrosophic adaptive mean shift clustering

Y Guo, A Şengür, Y Akbulut, A Shipley - Measurement, 2018 - Elsevier
Color image segmentation can be defined as dividing a color image into several disjoint,
homogeneous, and meaningful regions based on the color information. This paper proposes …

Color image segmentation based on improved sine cosine optimization algorithm

S Mookiah, K Parasuraman, S Kumar Chandar - Soft Computing, 2022 - Springer
Segmentation refers to the process of dividing an image into multiple regions based on
some criteria such as intensity and color. In recent years, color image segmentation has …

A better way of extracting dominant colors using salient objects with semantic segmentation

AB Gunduz, B Taskin, AG Yavuz, ME Karsligil - Engineering Applications of …, 2021 - Elsevier
One of the most prominent parts of professional design consists of combining the right
colors. This combination can affect emotions, psychology, and user experience since each …

Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera

A Samarin, A Savelev, A Toropov, A Nazarenko… - Pattern Recognition and …, 2024 - Springer
Tasks related to the automation of medical data processing are becoming more urgent.
Particular attention is paid to systems for monitoring and analyzing human physiological …

Intelligent recognition of dominant colors for Chinese traditional costumes based on a mean shift clustering method

L Xing, J Zhang, H Liang, Z Li - The Journal of the Textile Institute, 2018 - Taylor & Francis
Chinese traditional costumes have been recognized as one of the most influential sources
for Western designers to obtain oriental inspirations and create Asian chic, especially the …

Including the size of regions in image segmentation by region-based graph

A Rezvanifar, M Khosravifard - IEEE Transactions on Image …, 2013 - ieeexplore.ieee.org
Applying a fast over-segmentation algorithm to image and working on a region-based graph
(instead of the pixel-based graph) is an efficient approach to reduce the computational …

[PDF][PDF] Segmentation of Mammogram Abnormalities Using Ant System based Contour Clustering Algorithm

GR Thevar - iajit.org
Breast cancer is the most widespread cancer that affects females all over the world. The
Computer-aided Detection Systems (CADs) could assist radiologists' in locating and …

[PDF][PDF] Human eye iris and pupil segmentation using infrared camera snapshots

A Samarin, A Toropov, A Savelev, A Dzestelova… - damdid2023.hse.ru
At the present time, problems related to the automation of medical data processing are
urgent. Particularly systems for human physiological parameters monitoring and analysis …

The International Arab Journal of Information Technology (IAJIT)

S Subramanian, GR Thevar - iajit.org
Breast cancer is the most widespread cancer that affects females all over the world. The
Computer-aided Detection Systems (CADs) could assist radiologists' in locating and …

Using GrCC for Color Image Segmentation Based on the Combination of Color and Texture

Y Wang, G Jia, Y Shi, J Yang - … , CCBR 2015, Tianjin, China, November 13 …, 2015 - Springer
Color image segmentation has been a significant and challenging topic in the field of digital
image processing. Due to the complexity of color images, the results of traditional …