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Published in 2017 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-017-0152-y
Abstract: Multilevel thresholding is one of the most broadly used approaches to image segmentation. However, the traditional techniques of multilevel thresholding are time-consuming, especially when the number of the threshold values is high. Thus, population-based metaheuristic…
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Keywords:
image;
population based;
image thresholding;
metaheuristic algorithms ... See more keywords
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Published in 2017 at "International Journal of Image and Data Fusion"
DOI: 10.1080/19479832.2017.1338760
Abstract: ABSTRACT Image compression is very significant process in image transmission at high data rate over a communication channel and to increase the storage capacity of storage device. Ordinary image thresholding is a class of clustering…
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Keywords:
image;
search;
gravitational search;
entropy ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2953494
Abstract: Multilevel image thresholding is an important technique for image processing. However, the computational complexity of multilevel image thresholding grows exponentially with the increase in the number of thresholds when using the exhaustive searching method. To…
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Keywords:
multilevel image;
pollination;
improved flower;
image thresholding ... See more keywords
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Published in 2020 at "Algorithms"
DOI: 10.3390/a13020046
Abstract: We propose a fast document image thresholding method (FADIT) and evaluations of the two classic methods for demonstrating the effectiveness of FADIT. We put forward two assumptions: (1) the probability of the occurrence of grayscale…
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Keywords:
fadit fast;
image thresholding;
document image;
fast document ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24030319
Abstract: In order to automatically recognize different kinds of objects from their backgrounds, a self-adaptive segmentation algorithm that can effectively extract the targets from various surroundings is of great importance. Image thresholding is widely adopted in…
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Keywords:
self adaptive;
variance;
image;
image thresholding ... See more keywords