A beginner's guide to multilevel image thresholding / authored by: Dr. Venkatesan Rajinikanth, Dr. Nadaradjane Sri Madhava Raja, Dr. Nilanjan Dey.

By: Rajinikanth, Venkatesan [author.]Contributor(s): Raja, Nadaradjane Sri Madhava [author.] | Dey, Nilanjan, 1984- [author.]Material type: TextTextSeries: Publisher: Boca Raton : CRC Press, 2021Copyright date: ©2021Edition: First editionDescription: 1 online resource (xiii, 104 pages) : illustrations (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9781003049449; 1003049443; 9781000228458; 1000228452; 9781000228335; 1000228339; 9781000228397; 1000228398Subject(s): Image segmentation | Threshold logic | Imaging systems in medicine | COMPUTERS / Computer Graphics / General | COMPUTERS / Computer Engineering | TECHNOLOGY / ElectricityDDC classification: 006.6 LOC classification: TA1638.4 | .R35 2021Online resources: Taylor & Francis | OCLC metadata license agreement Summary: "Choosing appropriate thresholding based on the existing image (Grayscale/RGB) and the assigned task is essential to attain better result and the complexity of the image thresholding is largely reduced with the help of a chosen heuristic algorithm technique. This book emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. It presents a detailed evaluation, such as choosing the threshold function, need for the heuristic algorithm, choice of objective function, and evaluation of the outcome along with real-time applications in detail"-- Provided by publisher.
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"Choosing appropriate thresholding based on the existing image (Grayscale/RGB) and the assigned task is essential to attain better result and the complexity of the image thresholding is largely reduced with the help of a chosen heuristic algorithm technique. This book emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. It presents a detailed evaluation, such as choosing the threshold function, need for the heuristic algorithm, choice of objective function, and evaluation of the outcome along with real-time applications in detail"-- Provided by publisher.

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