Blar i NTNU Open på forfatter "Melit Devassy, Binu"
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Classification of forensic hyperspectral paper data using hybrid spectral similarity algorithms
D, Deepthi; Melit Devassy, Binu; George, Sony; Nussbaum, Peter; Tessamma, Thomas (Peer reviewed; Journal article, 2022)Document forgeries that involve modification of the materials used, such as ink and paper, provide evidence of any malpractices being performed. Forensic specialists use different techniques to identify and classify these ... -
Comparison of Ink Classification Capabilities of Classic Hyperspectral Similarity Features
Melit Devassy, Binu; George, Sony; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2019)Ink classification is an active topic in historic and forensic document analysis. In this work, we compared the ink classification capabilities of five commonly used and wellproven similarity measures for classification ... -
Contactless Classification of Strawberry Using Hyperspectral Imaging
Melit Devassy, Binu; George, Sony (Peer reviewed; Journal article, 2020)Rapid non-contact estimation of fruit quality parameters is an essential factor for an efficient food processing pipeline. We propose a novel workflow for the contactless classification of strawberries based on their sugar ... -
Dimensionality reduction and visualisation of hyperspectral ink data using t-SNE
Melit Devassy, Binu; George, Sony (Peer reviewed; Journal article, 2020)Ink analysis is an important tool in forensic science and document analysis. Hyperspectral imaging (HSI) captures large number of narrowband images across the electromagnetic spectrum. HSI is one of the non-invasive tools ... -
Estimation of strawberry firmness using hyperspectral imaging: a comparison of regression models
Melit Devassy, Binu; George, Sony (Peer reviewed; Journal article, 2021)Firmness is one of the most important quality measures of strawberries, and is related to other aspects of the fruit, such as flavour, ripeness and internal characteristics. The most popular method for measuring firmness ... -
Forensic analysis of beverage stains using hyperspectral imaging
Melit Devassy, Binu; George, Sony (Peer reviewed; Journal article, 2021)Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains ... -
Hyperspectral imaging and machine learning for the prediction of SSC in kiwi fruits
Moen, Jon Elias; Nilsen, Vebjørn Johansen; Brox-Saidi, Katherine Asha; Kohmann, Eivind; Melit Devassy, Binu; George, Sony (Journal article; Peer reviewed, 2021) -
The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification using Both Hand-Crafted and Deep Features
Melit Devassy, Binu; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)Melanoma is the deadliest form of skin cancer and it is the most rapidly spreading cancer in the world. An earlier detection of this kind of cancer is curable; hence, earlier detection of melanoma is pre-eminent. Because ... -
Unsupervised Clustering of Hyperspectral Paper Data Using t-SNE
Melit Devassy, Binu; George, Sony; Nussbaum, Peter (Peer reviewed; Journal article, 2020)For a suspected forgery that involves the falsification of a document or its contents, the investigator will primarily analyze the document’s paper and ink in order to establish the authenticity of the subject under ...