[引用][C] PEAK SIGNAL-TO-NOISE RATIO BASED ON THRESHOLD METHOD FOR IMAGE SEGMENTATION.
F Pirahansiah, SN HUDA SHEIKH ABDULLAH… - Journal of Theoretical & …, 2013
Particle Swarm Optimizer Variants for Multi-level Thresholding: Theory, Performance Enhancement and Evaluation
Multilevel thresholding (MLT) has a significant impact in the realm of image segmentation. It
is a simple and efficient method for image segmentation. However, as the number of …
is a simple and efficient method for image segmentation. However, as the number of …
Multi-level thresholding image segmentation based on nature-inspired optimization algorithms: a comprehensive review
Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …
several areas such as engineering, communications, transportation, business, and social …
A multi-level image thresholding approach using Otsu based on the improved invasive weed optimization algorithm
X Yue, H Zhang - Signal, Image and Video Processing, 2020 - Springer
Multi-level thresholding is one of the most popular techniques in image segmentation.
However, selecting the optimal thresholds with high accuracy and efficiency is still …
However, selecting the optimal thresholds with high accuracy and efficiency is still …
Image segmentation using multilevel thresholding based on modified bird mating optimization
Multilevel thresholding using Otsu or Kapur methods is widely used in the context of image
segmentation. These methods select optimal thresholds in gray level images by maximizing …
segmentation. These methods select optimal thresholds in gray level images by maximizing …
Meta-heuristic moth swarm algorithm for multilevel thresholding image segmentation
Y Zhou, X Yang, Y Ling, J Zhang - Multimedia Tools and Applications, 2018 - Springer
Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …
segmentation. However, the computational complexity of determining the optimal threshold …
Multilevel thresholding selection based on variational mode decomposition for image segmentation
J Li, W Tang, J Wang, X Zhang - Signal Processing, 2018 - Elsevier
Multilevel thresholding techniques based on gray histogram are usually computationally
expensive for the image segmentation. In this paper, we propose a novel thresholding …
expensive for the image segmentation. In this paper, we propose a novel thresholding …
Automatic thresholding using a modified valley emphasis
Otsu's method is one of the most well‐known methods for automatic thresholding, which
serves as an important algorithm category for image segmentation. However, it fails if the …
serves as an important algorithm category for image segmentation. However, it fails if the …
Edge magnitude based multilevel thresholding using Cuckoo search technique
Multilevel thresholding technique is popular and extensively used in the field of image
processing. In this paper, a multilevel threshold selection is proposed based on edge …
processing. In this paper, a multilevel threshold selection is proposed based on edge …