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WEB-technology for Medical images Segmentation 3

WEB-technology for Medical Images Segmentation

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3rd Russian-Pacific conference on Computer Technology and Applications (RPC)

作者： Doronicheva, Anna V. Savin, Sergey Z. Russian Acad Sci Far Eastern Branch Ctr Comp Fed State Budgetary Inst Sci Khabarovsk Russia

ISBN: (纸本)9781538675311

In work is described practical using of WEB-technology for segmentation and analysis tasks of medical image. Progress in the development of bioinformatics and mathematical methods in biomedicine, as well as the development of computer and telecommunications systems and networks determines the look of the present and future of medical technology and of medicine in general [8, 10]. At last years of one of the directions of development of cloud, computing technologies in high-tech-medicine is a processing the digital image: improvement of quality of image, recovering image, its recognition of separate elements. recognition of pathological processes is one of the most important problems of processing the medical image. By now, a number of standards for medical imaging have been developed. By analogy with CAD/CAM systems (computer aided design and computer aided manufacturing) for technical applications, CAD (computer-aided diagnosis) systems are being developed for medical purposes. Some of them are already successfully operating, but to date these systems are only "assistants" of a diagnostician who takes decisions. CAD algorithms for medical imaging systems typically include image segmentation, the selection of some objects of interest ("masses"), their analysis, parametric description of the selected objects and their classification.

关键词： expert system computer-aided diagnosis (CAD) pattern recognition medical image scintigraphy

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Facial Expression recognition Based on G-2DPCA Feature and Sparse Representation Classification 3

Facial Expression Recognition Based on G-2DPCA Feature and S...

引用

IEEE 3rd International conference on Signal and image Processing (ICSIP)

作者： Wang, Yan Li, Ming Zhang, Congxuan Chen, Hao Nanchang Hangkong Univ Key Lab Jiangxi Prov Image Proc & Pattern Recogni Nanchang Jiangxi Peoples R China Nanchang Hangkong Univ Engn Training Ctr Nanchang Jiangxi Peoples R China

ISBN: (纸本)9781538663967

In this paper, we proposed an effective method of facial expression recognition based on a G-2DPCA feature and Sparse Representation-based Classification (SRC). Gabor filters with five scales and eight directions are first employed for feature extraction. To address the high dimension of Gabor features, we select one out of forty Gabor filters with an optimal parameter pair of scales and directions to filter facial images. Two-dimensional principal component analysis (2DPCA) is utilized for image representation and data dimension reduction. It retains the 2D geometric structure of an image, and the image matrix does not need to transform into a vector, which reducing the computation time greatly. Finally, Gabor plus 2DPCA (G-2PCA) features are regarded as the atoms of dictionary in SRC. Experimental results demonstrate that the proposed method has better performance than the existing algorithms.

关键词： facial expression recognition Gabor wavelet 2DPCA SRC

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Automatic Medicinal Plants Classification using Multi-channel Modified Local Gradient pattern with SVM Classifier

Automatic Medicinal Plants Classification using Multi-channe...

引用

International conference on Informatics, Electronics & Vision (ICIEV)

作者： Umme Habiba Md. Rasel Howlader Md. Aminul Islam Rahat Hossain Faisal Md. Mostafijur Rahman Dept. of Computer Science and Engineering University of Barisal Barisal Bangladesh

Most of the people in the world rely on traditional medicine which is made from medicinal plants. However, very few works concentrate on automatic classification. Therefore, the automatic classification of medicinal plants demands more investigation which is an important issue for conservation, authentication, and production of medicines. In this paper, for automatically classifying medicinal plants, we present a Multi-channel Modified Local Gradient pattern (MCMLGP), a new texture-based feature descriptor that uses different channels of color images for extracting more significant features to improve the performance of classification. We have trained our proposed approach using SVM classifier with various kernels such as linear, polynomial and HI. In addition, we have used different feature descriptors for comparative experimental analysis with MCMLGP by conducting the rigorous experiment on our own medicinal plants dataset. The proposed approach gain higher accuracy (96.11%) than other techniques, and significantly valuable for exploration and evolution of medicinal plants classification.

关键词： Biomedical imaging Feature extraction image color analysis Support vector machines Kernel Harmonic analysis Histograms

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image Inpainting Method Based on Mixed Median

Image Inpainting Method Based on Mixed Median

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International conference on Informatics, Electronics & Vision (ICIEV)

作者： Dang N. H. Thanh V. B. Surya Prasath Le Minh Hieu Hiroharu Kawanaka Department of Information Technology Hue College of Industry Hue VN Department of Electrical Engineering and Computer Science University of Cincinnati OH USA Department of Economics The University of Danang VN Department of Electrical and Electronic Engineering Mie University Mie Japan

The image inpainting is an interesting problem of image processing that has wide range of application in science, engineering, medicine and other fields of life. The inpainting is a process to fill the corrupted or missing parts of images. So, the image inpainting can be used in various cases, such as restoration of corrupted images, removal of unnecessary objects on images to improve quality of postprocessing tasks, image zooming etc. In this paper, we propose an image inpainting method based on mixed median. The mixed median proposed here is a combination of two kinds of median of pixels intensity: median of uncorrupted pixels in a clipping window and median of the maximum repetitive pixel values. In the experiment, we handle the test on the open dataset with given masks to generate the corrupted regions. This method is helpful to assess the inpainting quality based on the peak signal-to-noise ratio and the structure similarity metrics. We also compare the proposed method with the harmonic inpainting method to prove its own effectiveness.

关键词： image restoration Harmonic analysis Power harmonic filters Measurement image quality Wiener filters

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Uneven Illumination Compensation for Unconstrained Face recognition Using LBP 3

Uneven Illumination Compensation for Unconstrained Face Reco...

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3rd International conference for Convergence in Technology (I2CT)

作者： Dandpat, Swarup Kumar Meher, Sukadev Bopche, Vivek Natl Inst Technol Dept Elect & Commun Engn Rourkela 768009 India

ISBN: (纸本)9781538642733

Face recognition results are degraded when the test image is having nonuniform illumination variations. Due to the lighting variations, different expressions and occlusions the facial appearance of the face changes dramatically such that recognition by the methods is quite a difficult task. Out of which the problems due to illumination variations such as shadows, under lighting, over lighting in the face are the crucial problems which are to be overcome to achieve the satisfactory results for an automatic face recognition system. In this paper, we propose an efficient illumination compensation method based on frequency analysis and multi-resolution analysis. The effect of uneven lighting variations of the test image is efficiently and effectively removed by applying the LBP image to modify the magnitude information in the frequency domain. The magnitudes of the LBP image compensate the distorted magnitudes of the original image, caused by the light variations, as well as add some structural information to the restored image. To examine the efficacy of our developed method, histogram equalization based normalization and Fourier based normalization methods are compared with the proposed method. An extensive simulation study has been carried out to measure the effectiveness of our proposed method on the images containing extreme illumination variations. For this purpose, we have used the Extended Yale-B face database. From the results, it is found that our proposed method outperforms other methods and also it works better for extremely poor illuminated images.

关键词： Face recognition Discrete Fourier Transform Local Binary pattern Illumination Normalization Feature Extraction

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Design and Development of Dipole Antenna for NOAA Satellite image Acquisition System and Processing 1

Design and Development of Dipole Antenna for NOAA Satellite ...

引用

2018 1st Workshop on Engineering, Education, Applied Sciences, and Technology, WEAST 2018

作者： Fathurahman, Mohamad Zulhelman Maulana, Agustrian Widyawati, Mega Broadband Multimedia Electrical Engineering Department Politeknik Negeri Jakarta Indonesia

The National Oceanic Atmospheric and Administration (NOAA) satellite is the 3rd Series of American meteorological for take information about the physical state of ocean and atmosphere. This research will describes the design of Satellite image Acquisition System using two kinds of antenna, double cross dipole and Double V Double Dipole antenna as receiver of NOAA satellite and about performance of receiver system. The designed antenna works at frequency 137 Mhz with omnidirectional radiation pattern. The analysis process with analyzing the data receiving process with return loss parameter, signal to noise ratio (SNR), noise floor and image. The process of receiving data is by connecting antenna with RTL-SDR, SDRSharp software, WxtoImg, and Gpredict that has installed on laptop. Both antenna can receive data from NOAA satellite well, the data received are return loss value, noise floor, and image of Indonesian island that can be used for remote sensing. The antenna parameter for Double V Double Dipole are return loss-30.421 dB, VSWR 1.063, input impedance 51.642 Ohm and Gain 5.2 dB. For double cross dipole are return loss-29.315 dB, VSWR 1.071, input impedance 46.946 Ohm and Gain 4.47 dB. Both antenna have omnidirectional radiation pattern. © Published under licence by IOP Publishing Ltd.

关键词： Satellites

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Twitter Sentiment analysis About Public Opinion on 4G Smartfren Network Services Using Convolutional Neural Network

Twitter Sentiment Analysis About Public Opinion on 4G Smartf...

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International conference on Informatics and Computational Sciences (ICICoS)

作者： Muhammad Radifan Aldiansyah Priyo Sidik Sasongko Faculty of Science and Mathematics Universitas Diponegoro Semarang Indonesia

The following topics are dealt with: learning (artificial intelligence); feature extraction; image classification; neural nets; pattern classification; convolutional neural nets; data analysis; social networking (onli...

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Effects of Illumination Color on Autonomic Response to Exercise

Effects of Illumination Color on Autonomic Response to Exerc...

引用

International conference on Informatics, Electronics & Vision (ICIEV)

作者： Emi Yuda Kento Yamamoto Yutaka Yoshida Junichiro Hayano Department of Medical Education Graduate School of Medical Sciences Nagoya Japan University of Tsukuba Graduate School of Comprehensive Human Sciences Tsukuba Japan Nagoya City University Graduate School of Design and Architecture Nagoya Japan

Blue light rich in melanopsin-stimulating component is known to induce cardiac parasympathetic suppression and psychomotor arousal while other colors of illumination show no such effects. This study examined the effects of blue light rich illumination on autonomic response to exercise. Hear rate recovery responses after ergometer exercise under blue and amber illumination were compared in healthy subjects. The time required for heart rate to return to 50% of the increase due to exercise was longer under blue light than amber light. Blue light rich illumination may delay recovery of cardiac function after exercise.

关键词： Heart rate Lighting Organic light emitting diodes Physiology Color image color analysis Urban areas

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Local Binary pattern and Tchebychev Moments as a Single image Discriptor 3

Local Binary Pattern and Tchebychev Moments as a Single Imag...

引用

3rd International conference on pattern analysis and Intelligent Systems (PAIS)

作者： Lamine, Benrais Nadia, Baha Univ Sci & Technol USTHB Dept Comp Sci Algiers Algeria

ISBN: (纸本)9781538642382

This paper experiences a novel approach of object description using a combination of two well-known descriptors "LBP: Local Binary patterns" and "DTMs: Discrete Tchebychev Moments". With their pros and cons, the LBP and Tchebychev are widely and successfully used in the computer vision community. LBP is a local based descriptor while the DTMs is a global based descriptor seem to makes the combination difficult, however, we managed in this paper to propose an interesting approach that takes advantage of their pros while imitating their cons and outperform their weaknesses. The proposed approach is tested on the COIL dataset and return very interesting results going up to 89,98% of well classified objects.

关键词： Tchebychev Moments Local Binary patterns Object Description Object Classification

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Student Monitoring System for School Bus Using Facial recognition

Student Monitoring System for School Bus Using Facial Recogn...

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International conference on Trends in Electronics and Informatics (ICEI)

作者： Ciya James David Nettikadan Department of Electronics and Communication Jyothi Engineering college Thrissur Kerala

Recent reports confirm the fact that school students are the most vulnerable to social crimes happening across the globe and our country too. Many of these cases happen during their ply from their residence to school and vice versa. In multiple cases these social crimes including sexual harassment happened in their school bus itself. Considering this serious situation, we are proposing a real time monitoring system using image processing techniques. - Identifying a student with an image has been popularized through the mass media like camera. This system monitors the images inside the vehicle and identifies the students and their movements inside the bus. The system recognizes the student faces and their count are also monitored. The system will also raise an alarm to get the attention of the public if it is so essential. Technologies are available in the Open-Computer-Vision (OpenCV) library and implement those using Python. For face detection, Haar-Cascades classifier was used and for face recognition Eigenfaces, and Local binary pattern histograms were used. each stage of the system described by some flowcharts. And also face recognition used in automation attendance system which eliminates most of the drawbacks that the manual attendance systems pose, easy manipulation of attendance records, proxy-attendances, and insecure system.

关键词： Face recognition Face detection Monitoring Feature extraction Task analysis Real-time systems Informatics

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