Abstract
This paper’s proposed method known as assessment of diabetic foot abnormalities for normal and abnormal patients. To evaluate the diabetic foot by using filtered output from a contrast adjusted hyperspectral image and selecting the four seeds points to obtain the cropped image by adding the pepper and salt noisy and apply median filtering from noisy input in order to get the smoothen output image. Then, differentiate the output value normal and abnormal patients. Finally, assess the diabetic foot abnormalities by hyperspectral image. In this article, there are only some qualities which is to regulate enlarge the gap of the figure with chart the principles of the key concentration of figure to original ethics. The progress development is established to arrange in partial, to strengthen the noise which may be nearby in the figure. A number of the applications are included in medical field and geosciences field also.
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References
Devi TAM, Rajeswari I (2016/3) Hyperspectral band clustering on ebcot pre encoding technique. J Chem Pharm Sci (JCPS) Scopus Index J 9(1)
Devi TAM, Muthukumar D, Kumar P A systematic novel approach for PC based hyper spectral analysis on bio-medical signals. In: ICRTES’2018—International conference on recent trends in engineering and sciences. www.sciencepubco.com/index.php/IJET
Devi TAM (2016) A non invasive computer aided diagnosis system for early detection of lunc carcinoma in CT medical images. Int J Latest Trends Eng Technol (IJLTET) 8(4–1)
Vijithan SM, Parasuraman K, Devi TAM (2016) A novel approach for MRI brain image segmentation using local independent projection model. J Digit Image Process 8(7):237–243
Raja M, Devi TAM (2016/6) Simultaneous visualization and segmentation of hyperspectral data using fuzzy K means clustering. Int J Res Appl Sci Eng Technol (IJRASET) 4(VI)
Devi TAM, Percy S (2016/5) An efficiently identify the diabetic foot ulcer based on foot anthropometry using hyperspectral imaging. Int J Inf Technol Manag Inf Syst (IJITMIS) 7(2)
Devi TAM (2015/7) A modified MSRCR technique for hyper spectral images on various levels of resolution enhancement. J Int J Adv Res Electr, Electron Instrum Eng 4(7)
Devi TAM (2016/5) A novel technique of resolution enhancement in hyperspectral images on proposed cHLAE. J Chem Pharm Sci (JCPS) Scopus Index J 9(1)
Devi TAM, Rekha N (2013/7) Hyperspectral image classification using spatial and spectral features. J Int J Sci Eng Res
Devi TAM, Muthukumar D, Kumar P (2017) Graphical representation of voltage and current measurements in series or parallel RLC resonant circuits for magnification using hyperspectral analysis. In: 2017 IEEE international conference on intelligent techniques in control, optimization and signal processing. IEEE, 978-1-5090-4778-9/17/$31.00 © 2017
Arumuga Maria Devi T (2014) Video transcoding of temporal hyperspectral images on web browsing. Int J Comput Appl Eng Technol 3(3), ISSN 2277-7962, July 2014
Arumuga Maria Devi T, Arumugaraj G (2015) A modified MSRCR technique for hyper spectral images on various levels of resolution enhancement. Int J Adv Res Electr Electron Instrum Eng 4(7), ISSN (Print): 2320-3765, ISSN (Online): 2278-8875, July 2015
Senthilkumar V, Arumuga Maria Devi T (2015) Hyper spectral image processing in coal detection. Trans Eng Sci 3(5), ISSN 2347-1964 (online), ISSN 2347-1875, July–Sep 2015
Mebin Jose VI, Arumuga Maria Devi T (2017) A non invasive computer aided diagnosis system for early detection of lung carcinoma in CT medical images. Int J Latest Trend Eng Tech, IJLTET, UGC Indexed J, 8(4–1), pp. 125–130. https://doi.org/10.21172/1.841.22, Aug 2017
Muthukumar D, Arumuga Maria Devi T (2018) Performance comparison on various bio electrical signals of MRI, CT and HSI in human abnormal conditions using hyperspectral signal analysis based 3D visualization. Inter J Res Eng Application and Management Scopus and UGC approved J 4(4), ISSN 2454-9150, July 2018
Arumuga Maria Devi T, Arumugaraj G (2015) A modified MSRCR technique for hyper spectral images on various levels of resolution enhancement. Inter J Adv Res Electr Electron Instrum Eng 4(7), ISSN (Print): 2320-3765, ISSN (Online): 2278-8875, July 2015
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Hepzibai, R., Arumuga Maria Devi, T., Darwin, P., SenthilKumar, E. (2020). Detection of Normal and Abnormalities from Diabetics Patient’s Foot on Hyperspectral Image Processing. In: Saini, H., Sayal, R., Buyya, R., Aliseri, G. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-15-2043-3_8
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DOI: https://doi.org/10.1007/978-981-15-2043-3_8
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