F Xiong, Z Zhang, Y Ling, J Zhang - Scientific Reports, 2022 - nature.com
Image segmentation by thresholding is an important and fundamental task in image processing and computer vision. In this paper, a new bi-level thresholding approach based …
R Srikanth, K Bikshalu - Ain Shams Engineering Journal, 2021 - Elsevier
Image segmentation is a process of portion image into regions. From image segmentation schemes available, multilevel thresholding on the histogram is a highly established method …
L Dong, G Yu - … and Information Science: First International Symposium …, 2005 - Springer
Image thresholding is one of the main techniques for image segmentation. It has many applications in pattern recognition, computer vision, and image and video understanding …
S Wang, F Chung, F Xiong - Pattern Recognition, 2008 - Elsevier
Image segmentation is one of the most important and fundamental tasks in image processing and techniques based on image thresholding are typically simple and …
In this chapter, an alternative image segmentation method is proposed to find the multi-level thresholding values. The proposed method is based on the tree seed algorithm (TSA) which …
M Karakoyun, NA Baykan… - … Research Journal of …, 2017 - zelusinternational.com
Image segmentation is an important problem for image processing. The image processing applications are generally affectedfromthe segmentation success. There is noany image …
A Sheeba, S Manikandan - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Automatic thresholding is an important technique in the image segmentation process. The basic idea of automatic thresholding is to select an optimal gray-level threshold value …
S Kumar, M Pant, AK Ray - 2011 World Congress on …, 2011 - ieeexplore.ieee.org
Image segmentation is a challenging task in digital image processing. Thresholding, an important technique for image segmentation, has gained considerable attention from the …
QB Truong, BR Lee - International Journal of Control, Automation and …, 2013 - Springer
Automatic thresholding has been widely used in machine vision for automatic image segmentation. Otsu's method selects an optimum threshold by maximizing the between …