Cuttlefish Algorithm-Based Multilevel 3-D Otsu Function for Color Image Segmentation
| Autor: | Ashish Kumar Bhandari, Kankanala Srinivas, Immadisetty Vinod Kumar |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
020208 electrical & electronic engineering 02 engineering and technology Thresholding Image (mathematics) Otsu's method symbols.namesake Search algorithm Feature (computer vision) 0202 electrical engineering electronic engineering information engineering symbols Segmentation Electrical and Electronic Engineering Instrumentation Algorithm |
| Zdroj: | IEEE Transactions on Instrumentation and Measurement. 69:1871-1880 |
| ISSN: | 1557-9662 0018-9456 |
| Popis: | To overcome the shortcomings of 1-D and 2-D Otsu’s thresholding methods, a 3-D Otsu method has been introduced. While yielding satisfactory segmentation results for images with a low signal-to-noise ratio (SNR) and poor contrast, it has the downside of high computational complexity. In this paper, the cuttlefish algorithm (CFA)-based 3-D Otsu thresholding method is proposed to pace up the conventional 3-D Otsu thresholding for color image segmentation. In order to decrease the effects of noises and weak edges, an optimally selected multilevel 3-D Otsu image thresholding technique is brought into the proposed segmentation scheme. The CFA is a newly developed stochastic meta-heuristic optimization algorithm based on observing, mimicking, and modeling the camouflaging feature of cuttlefish. It is used to simplify the problem of exhaustive search for the optimal threshold vector in 3-D space. Experimental results, when compared to 1-D Otsu, 1-D Otsu-Cuckoo search (CS) algorithm, 1-D Otsu-lightning search algorithm (LSA), 1-D Otsu-CFA, conventional 3-D Otsu, 3-D Otsu-CS, and 3-D Otsu-LSA, indicate that the proposed algorithm CFA-based 3-D Otsu thresholding is superior to all the other multilevel thresholding algorithms. The proposed 3-D-CFA method produces promising segmentation results from the objective and subjective aspects. |
| Databáze: | OpenAIRE |
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