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Empirical system of image enhancement for digital microscopic pneumonia bacteria images
摘要： In this paper the image processing method is used to enhance the pneumonia bacteria images. This paper recognized the bacteria images based on two domains. The enhancement techniques used for bacteria image enhancement were median filter, wiener filter, single scale retinex and multiscale retinex. Image enhancement has a very important role in digital image processing. The median and wiener filters were used for grayscale image enhancement. Then single scale retinex and multiscale retinex were used for color image enhancement. Based on performance metrics identified median filter is suitable for bacteria images in grayscale image enhancement and multiscale retinex is suitable for bacteria color image enhancement (Tab. 2, Fig. 8, Ref. 21). Text in PDF www.elis.sk.
关键词： image processing,median filter,multiscale retinex,image enhancement,wiener filter,single scale retinex,Pneumonia bacteria
更新于2025-09-23 15:22:29
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[IEEE 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) - Tirunelveli, India (2018.5.11-2018.5.12)] 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) - An Efficient Iris Recognition System Using Integer Wavelet Transform
摘要： An iris recognition mechanism is being discussed in presented paper, which is based on Integer Wavelet Transform (IWT). UBIRIS.v2 iris database is works as the input image for implementation of this mechanism. For ef?cient iris region localization combination of Total Variation Model and Hough Transform is used. An iris recognition algorithm is developed by using four level integer wavelet transform (IWT). IWT is an interesting alternative of discrete wavelet transform, which gives less computational complexity because it gives integer value as the coef?cient. Four level IWT is ?rstly applying into the segmented iris image, which generates 256 sub-bands. But only 192 sub-images are taken into consideration after ignoring the high frequency sub-bands. After that the energy of 192 sub-bands is calculated for feature extraction, which helps to generate a 192 bit binary code. For recognition of individuals, normalized hamming distance is computed between the trained and input binary codes of 1-D feature vector. Matching results have been plotted and discussed in the paper.
关键词： SSR (Single Scale Retinex),Hough Transform,IWT
更新于2025-09-09 09:28:46