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Implementation of 2D Snake Model-based Segmentation on Corpus Callosum
Shidaifat, Ala'a ddin Al,Choi, Heung-Kook Korea Multimedia Society 2014 멀티미디어학회논문지 Vol.17 No.12
The corpus callosum is the largest part of the brain, which is related to many neurological diseases. Snake model or active contour model is widely used in medical image processing field, especially image segmentation they look into the nearby edge, localizing them accurately. In this paper, corpus callosum segmentation using the snake model, is proposed. We tested a snake model on brain MRI. Then we compared the result with an active shape approach and found that snake model had better segmentation accuracy also faster than active shape approach.
Semi-automated Approach to Hippocampus Segmentation Using Snake from Brain MRI
Al Shidaifat, Ala'a Ddin,Al-Shdefat, Ramadan,Choi, Heung-Kook Korea Multimedia Society 2014 멀티미디어학회논문지 Vol.17 No.5
The hippocampus has been known as one of the most important structure related to many neurological disorders, such as Alzheimer's disease. This paper presents the snake model to segment hippocampus from brain MRI. The snake model or active contour model is widely used in medical image processing fields, especially image segmentation they look onto nearby edge, localizing them accurately. We applied a snake model on brain MRI. Then we compared our results with an active shape approach. The results show that hippocampus was successfully segmented by the snake model.
Analysis of the Lorenz Circuit using a 8-bit PIC Microcontroller
AlaaDdin Al-Shidaifat(알라딘),Seok Bung Han(한석붕),Han-Jung Song(송한정) 한국지능시스템학회 2017 한국지능시스템학회논문지 Vol.27 No.4
본 논문에서는 암호통신 응용을 위한 로렌츠 카오스 회로를 8 비트 PIC 마이크로 콘트롤러를 사용하여 설계 및 분석을 하였다. 카오스 신호를 생성하는 대표적인 시스템인 로렌츠 시스템은 3개의 1차 미분 방정식으로 표현되며, 3개의 상태변수를 가진다. 일반적으로 로렌츠 시스템은 곱셈기와 연산증폭기, 저항 및 커패시터 등 여러 개의 수동소자로 이루어지는 아날로그 회로로 구현된다. 본 논문에서 제안하는 회로는, 연산증폭기 기반 아날로그 회로와는 다르게, 8 비트 PIC 마이크로 콘트롤러 칩과 3개 디지털-아날로그 변환기로 이루어진다. 제안하는 마이크로 컨트롤러 기반의 로렌츠시스템의 경우, 3개의 미분방정식은 3개의 차분방정식으로 변환된다. 프로테우스 프로그램을 이용하여 제안하는 회로에 대한 모의실험을 실시하였다. 제안하는 마이크로 콘트롤러 기반 로렌츠 회로에 대하여, 프로테우스 프로그램에 의한 모의실험을 통하여 시간파형, 주파수 특성, 2차원 위상특성 및 3차원 위상특성 해석을 실시하였다. 매개변수 r 의 조건에 따라, 로렌츠 회로의 특성 제어가 가능하며, 최적화 된 r 의 값에서, 카오스 신호가 정상적으로 생성됨을 확인하였다. This works presents an analysis of Lorenz circuit using 8-bit PIC microcontroller. For that purpose, a chaotic oscillator which based on Lorenz system is implemented. The proposed Lorenz circuit consists of a microcontroller unit, DAC stages and three output state (x, y, z). The system is simulated using a Proteus program and shows some electrical characteristics such as time waveforms, frequency spectra, two and three-dimensional phase attractor. Using the variation of control parameter (r), electrical characteristics of the system are controlled towards the initial condition. Finally, the Lorenz circuit provides chaotic behavior and proposed for the secure communication networks application.
Voltage Regulation of Retina Neuron Model with Dynamic Feedback for Biological Acquisition Image
Ala'aDdin Al-Shidaifat,Sandeep Kumar,송한정 한국바이오칩학회 2017 BioChip Journal Vol.11 No.4
The investigation on biological activated imagers using standard CMOS processes has become continuous trend where silicon retina with central- plane image processing, small pixel sizes, large dynamic range and relatively low power consumption are required. This work proposes a voltage regulation of retina neuron model with dynamic feedback approach for biological acquisition image. The implementation of retina neuron circuit consists of conventional current-feedback event generator with the extension of proposed current mirror and dynamic feedback stage. The proposed neuron circuit achieves extremely high dynamic voltage range with respect to light intensity which help to detect biological acquisition image and could be beneficial for retinal prostheses. Moreover, individually modelling of photodiode using Verilog-A and device model is proposed for activation of current-feedback event generator. This modeling of photodiode permits to simple, compact and linear solution for pixel implementation. The proposed voltage controlled retina neuron circuit is implemented and fabricated using 0.18 μm Magnachip CMOS process. The spikes of output voltage are varied according to the inputs taken as control voltage and light intensity. As per the observation, read-out spikes of output voltage pulses provide more brightness level in the image pixels. The fabrication of proposed neuron circuit achieves less power consumption in nano-joule under dc supply of 3.3 V. The experimental result of output voltage is made good correlation with simulated one.