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Title: :  Multi-threshold image segmentation based on an improved differential evolution
PaperId: :  21351
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21351
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Zahid Hussaensrk
Niresh Sharmasrk
Dr. Dinesh Kumar Sahusrk

Abstract

data mining
Image Segmentation, Thresholding, Local Thresholding, Global Thresholding
Image processing plays an important role in computer vision. The process of image segmentation provides the partition of image into different segments according to their feature attribute. Region based segmentation is a type similarity based segmentation. Another type of segmentation is called thresholding based segmentation. In thresholding based segmentation method some thresholding techniques are used. Thresholding techniques are classified into two major categories as, Global and Local. In global thresholding, pixel values are categorized in two classes, one class belong to object and another class belong to background. We use one threshold value in global thresholding for whole image that belongs to single level thresholding and if threshold value used in segmentation is more than one, technique is called multilevel thresholding. Local thresholding belongs to multilevel thresholding method. In this paper a comparative analysis of global thresholding and local thresholding methods is made according to time taken for image segmentation. Experimental results provide a conclusion that Global thresholding takes less time than local thresholding.

Citations

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IJARIIE Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. "Multi-threshold image segmentation based on an improved differential evolution" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 2285-2291
MLA Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. "Multi-threshold image segmentation based on an improved differential evolution." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 2285-2291.
APA Zahid Hussaen, Niresh Sharma, & Dr. Dinesh Kumar Sahu. (2023). Multi-threshold image segmentation based on an improved differential evolution. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 2285-2291.
Chicago Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. "Multi-threshold image segmentation based on an improved differential evolution." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 2285-2291.
Oxford Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. 'Multi-threshold image segmentation based on an improved differential evolution', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 2285-2291. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Multi_threshold_image_segmentation_based_on_an_improved_differential_evolution_ijariie21351.pdf (Accessed : ).
Harvard Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. (2023) 'Multi-threshold image segmentation based on an improved differential evolution', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 2285-2291IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Multi_threshold_image_segmentation_based_on_an_improved_differential_evolution_ijariie21351.pdf (Accessed : )
IEEE Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu, "Multi-threshold image segmentation based on an improved differential evolution," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 2285-2291, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Multi_threshold_image_segmentation_based_on_an_improved_differential_evolution_ijariie21351.pdf [Accessed : ].
Turabian Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. "Multi-threshold image segmentation based on an improved differential evolution." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Zahid Hussaen, Niresh Sharma, and Dr. Dinesh Kumar Sahu. Multi-threshold image segmentation based on an improved differential evolution. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 2285-2291. Available from: https://ijariie.com/AdminUploadPdf/Multi_threshold_image_segmentation_based_on_an_improved_differential_evolution_ijariie21351.pdf
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