Image segmentation by histogram thresholding using fuzzy sets

By O. J. Tobias, R. Seara. IEEE Transactions on Image Processing, 2002

464 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/ca18f75e27733d9818f5e84b817366a8ed6f9545

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. N. Senthilkumaran
2. Ishita Das
3. Ujjwal Maulik
4. Nibaran Das
5. Swarnendu Ghosh
6. Reghunadhan Rajesh
7. Ganapati Panda
8. Satyasai Jagannath Nanda

In Media Technology

1. Ishita Das
2. Ujjwal Maulik
3. Nibaran Das
4. Swarnendu Ghosh

Citations in the corpus

• Edge Detection Techniques for Image Segmentation - A Survey of Soft Computing Approaches (2009, background): “Image Segmentation is the process of partitioning a digital image into multiple regions or sets of pixels[1][3][27].”
• Understanding Deep Learning Techniques for Image Segmentation (2019, methodology): “lude satellite imagery [11, 17], guidance systems in defense [119], forensics such as face [5], iris [51] and ngerprint [144] recognition. Generally traditional methods such as histogram thresholding [195], hybridization [193, 87] feature space clustering [40], regionbased approaches [59], edge dete”