Entropy based segmentation of tumor from brain MR images – a study with teaching learning based optimization

Rajinikanth, V.; Satapathy, Suresh Chandra; Fernandes, Steven Lawrence; Nachiappan, Senthilnathan

doi:10.1016/j.patrec.2017.05.028

Cited by 222 publications

(72 citation statements)

References 44 publications

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“…Segmentation of ROI from the enhanced image is widely employed by the researchers with automated and semi-automated techniques [17]. This work implemented the Level-Set (LS) as well as Chan-Vese (CV) segmentation procedure to extract the ROI from the thresholded CTS.…”

Section: Image Segmentationmentioning

confidence: 99%

“…When the iteration increases, this box will converge towards the ROI and after identifying all the possible pixels of the ROI, the convergence of the box stops and presents the extracted COVID-19 infection. The essential information on the LS and the CV methods can be found in [17,[33][34][35].…”

Section: Image Segmentationmentioning

confidence: 99%

“…The aim of the proposed research is to develop an image evaluation scheme using the hybrid methods existing in the literature [17][18][19][20]. The Hybrid-Image-Processing-System (HIPS) can be developed by integrating the chosen multi-threshold scheme with a chosen segmentation technique.…”

Section: Introductionmentioning

confidence: 99%

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Segmentation and Evaluation of COVID-19 Lesion from CT scan Slices - A Study with Kapur/Otsu Function and Cuckoo Search Algorithm

Satapathy

Hemanth

Kadry

et al. 2020

Preprint

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Infection/disease in lung is one of the acute illnesses in humans. Pneumonia is one of the major lung diseases and each year; the death rate due to the untreated pneumonia is on rise globally. From December 2019; the pneumonia caused by the Coronavirus Disease (COVID-19) has emerged as a global threat due to its rapidity. The clinical level assessment of the COVID-19 is normally performed with the Computed-Tomography scan Slice (CTS) or the Chest X-ray. This research aims to propose an image processing system to examine the COVID-19 infection in CTS. This work implements Cuckoo-Search-Algorithm (CSA) monitored Kapur/Otsu image thresholding and a chosen image segmentation procedure to extract the pneumonia infection. After extracting the COVID-19 infection from the CTS, a relative assessment is then executed with the Ground-Truth-Image (GTI) offered by a radiologist and the essential performance measures are then computed to confirm the superiority of the proposed technique. This work also presents a comparative assessment among the segmentation procedures, such as Level-Set (LS) and Chan-Vese (CV) methods. The experimental outcome authenticates that, the results by Kapur and Otsu threshold are approximately similar when the LS is implemented and the CV with the Otsu presents better values of Jaccard, Dice and Accuracy compared to other methods presented in this research.

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Section: Image Segmentationmentioning

confidence: 99%

Section: Image Segmentationmentioning

confidence: 99%

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Segmentation and Evaluation of COVID-19 Lesion from CT scan Slices - A Study with Kapur/Otsu Function and Cuckoo Search Algorithm

Satapathy

Hemanth

Kadry

et al. 2020

Preprint

Self Cite

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“…Such an approach improves uncertainty of the sequence generated since it integrates both good statistical properties of Pseudo Random Number Generator based on an Elliptic Curve and Pseudo Random Number Generator based on chaotic map. [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] This work proposes a new Pseudo Random Number Generator. In this scheme, double rounds of diffusion and substitution operations are performed.…”

Section: Literature Survey On Pseudo Random Number Generatormentioning

confidence: 99%

Generation of pseudo random number sequence from discrete oscillating samples of equally spread objects and application for stream cipher system

Sudeepa¹,

Aithal

2019

Concurrency and Computation

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The demand on security privileged information has widely increased due to the sensitivity of the exchanged information over public communication channels. Nowadays, almost all organizations, mainly, business, financial, and government related areas, and also other regions are computerized, and sometimes, the data will be highly confidential. Since some areas dealing with confidential data, it is very much essential to provide the security for the data to avoid unauthorized access. Multimedia data security and security related issues have attracted many researchers towards it. Cryptography is necessary to protect the confidential information transmitting over the network. The strength of the cryptographic system, especially, stream cipher, is not only depending upon its encryption/decryption algorithm but also depends upon the randomness properties of the key sequence such as length, uniformity, independence, etc. In this work, a novel method of generating the pseudo random number that is based on the discrete equally spread oscillating points viewed orthogonally as an envelope has been considered for the generation. Depending on the number of samples, it is possible to get the higher length of the sequence. The random patterns generated by the discrete points of a moving wave are used to generate non binary random numbers. These numbers are used as key in stream cipher system. These are having greater advantages like one time padding to achieve perfect security in cryptographic application. The same non binary key sequence generated is applied for the cryptographic application, and the security parameters of the result obtained from cryptographic applications are also evaluated to observe the strength of security level. KEYWORDS discrete oscillating samples, Pseudo Random Number Generator, stream cipher system INTRODUCTIONData can be hacked during transmission through network channel. Hence, it is very essential to be transmitted in a secured manner. Cryptography is one of the major techniques to ensure security of data. Cryptography is a technique of transforming an original data into a particular form so that only those who know the key can read and process it. In cryptosystem, original message or data referred to as plain text. This could be transformed into non readable or scrambled form referred to as cipher text. This is done based on encryption algorithm. The encryption algorithm uses a key for changing the plain text into a cipher text. The cipher text can be recovered into its original form by an algorithm using a key known as decryption. The main goal of cryptography is data privacy (confidentiality), data authenticity, and data integrity (it cannot be modified in any way) in the digital world. Based on the type of key used for encryption/decryption, cryptography systems are categorized as symmetric key system and asymmetric key system. 1 The symmetric system can be categorized as stream and block cipher.Concurrency Computat Pract Exper. 2020;32:e5181. wileyonlinelibrary.com/journal/cpe Decryption Algor...

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“…The details of these metrics are presented in the following diagram. V. CONCLUSION Currently machine learning is used in many applications which including computer vision [29][30][31][32][33][34], bioinformatics [35][36][37][38][39][40][41], brainmachine interfaces [42][43][44][45][46][47], medical diagnosis [48][49][50][51][52][53], natural language processing [54][55][56][57][58][59], recommender systems [60][61][62][63][64], sentiment analysis [65][66][67][68], software engineering [69][70][71][72][73], structural health monitoring [74][75][76], syntactic pattern recognition …”

Section: IVmentioning

confidence: 99%

Score Level Fusion Based Approach for Water Leak Detection in Infrared Images

Rao¹

2017

IJRASET

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Identification of water region plays an important role in many of the industrial and agricultural applications. Detection of water and non-water region will be tedious if manual methods are adapted. To tackle this, this article presents a detailed image processing based method to detect water and non-water region using infrared Tau 2 640 camera.An algorithm is developed to identify the water and non-water regions in a remote area using Tau 2 640 camera mounted quad copter. A serious of experiments is carried to detect the water regions. Results of the experiments present the effectiveness of the proposed algorithm. Keywords: water regions, infrared, water detection, Tau 2 640INTRODUCTION With the development of technology for infrared (IR)sensors in last decades, many image processing applications based on IR images has emerged. IR image is generated by detecting radiation in the long-wave electromagnetic spectrum. The intensity value of a pixel in an IR image represents the emitted IR radiation intensity ie., the temperature of an object. IR images can provide all weather information, which is not observed by the human with naked eye. Therefore, IR images are widely used in surveillance, industry, military and other fields. Infrared thermography is used in various fields, from clinical diagnostics toindustrial preventive and in agriculture also in predictive evaluation [2][3][4]. In these cases, it is important toreveal oddities and irregularities in the distribution of the analyzed bodies'temperature as these are indicators of anomalous, and therefore undesired,situations. For example, areas of higher temperature than the standard conditionsmay identify infections or muscle injuries in the medical field, or damaged isolatorsand overheated joint, signs of incipient failure, in the industrial field, or high temperature in the regions are the sign of absences of water level in that particular area.This research article is focuses towards developing algorithms for identifying water resources using Tau2 640 Flir infrared camera. Water is an essential element without which any living species goes extinct. This research work mainly focuses on providing an invention which helps in detecting/ identifying the underground water resource present which can be mapped and tapped to the reservoir. This saved water can be fed to the people during summer season or to the farmers for the agriculture purpose during drought period. The quad copter technology thus used will cover the maximum area autonomously whereas yielding a real-time detection of the water bodies using the infra-Red cameras and the image classification algorithms.

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Entropy based segmentation of tumor from brain MR images – a study with teaching learning based optimization

Cited by 222 publications

References 44 publications

Segmentation and Evaluation of COVID-19 Lesion from CT scan Slices - A Study with Kapur/Otsu Function and Cuckoo Search Algorithm

Segmentation and Evaluation of COVID-19 Lesion from CT scan Slices - A Study with Kapur/Otsu Function and Cuckoo Search Algorithm

Generation of pseudo random number sequence from discrete oscillating samples of equally spread objects and application for stream cipher system

Score Level Fusion Based Approach for Water Leak Detection in Infrared Images

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