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Erschienen in:
Digital Image Watermarking Using Sine Transform Technique Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Gaussian Membership Function and Type II Fuzzy Sets Based Approach for Edge Enhancement of Malaria Parasites in Microscopic Blood Images

verfasst von : Golla Madhu

Erschienen in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Verlag: Springer International Publishing

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Abstract

This research presents a three-stage approach. In the first stage, the original image transformed into grayscale image, then normalizes grayscale image using min-max normalization, which performs a linear conversion on the original image data. The second stage calculates the Gaussian membership function on the normalized grayscale image then measure lower membership values and upper membership values using a threshold value. In addition, computed a novel membership function with Hamacher t-conorm using lower and upper membership values on given images. Finally, the median filter applied on these images to obtain edge enhanced microscopic images. The current study is conducted on the microscopic blood images of the malaria parasites. The experimental results compared with Prewitt filter, Sobel edge filter, and rank-ordered filter. The proposed approach is consistent and coherent in all microscopic malaria parasite images with four stages, with average entropy 0.90215 and 59.69% PSNR values, respectively.

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Vorheriges Kapitel Investigation on Land Cover Mapping of Large RS Imagery Using Fuzzy Based Maximum Likelihood Classifier
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Metadaten
Titel
Gaussian Membership Function and Type II Fuzzy Sets Based Approach for Edge Enhancement of Malaria Parasites in Microscopic Blood Images
verfasst von
Golla Madhu
Copyright-Jahr
2019
Buch
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_64

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