AIM AND KEY WORDS OF THIS TOPIC IS to detect the exact location of tumor without disturbing the entire image.

(E)EDGE PARAMETER(EDGE DETECTION)
(G)GRAY PARAMETER
(H)LOCAL CONTRAST, WATERSHED SEGMENTATION.

***BLOCK DIAGRAM IS AS SHOWN BELOW: ***

MRI image as input --> preprocessing --> division into blocks -->
--> E --> G --> H --> watershed segmentation --> 2D visiualization

so far i tried like this..

firstly i have read an brain tumor mri image,by using 'imtool' command observed the pixels values. now as already we a ....etc

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Plz send me the project all details,like diagram ,circuit and all.. ....etc

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optimising free space optics for wireless networks seminar report and slide needed some one please help
some good electrical project reports are also welcomed ....etc

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PARAMETER ESTIMATION FOR INTELLIGENT VOLUME CONTROLLER THROUGH NEURAL NETWORK CLASSIFIER
What is I.V.C?
I.V.C. is a device which used as volume controller. It is used to minimize the surroundings noise and boosting the desire voice signal to a optimal value. It is use in mobile phone, DVD player and CD player.
BLOCK DIAGRAM OF INTELLIGENT VOLUME  CONTROLLER FOR MOBILE PHONES
Speech Frames
COMMANDS USED IN MATLAB
LPC : ....etc

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details of synopsis on machine parameters for alloy steel. ....etc

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Abstract
This paper presents a new technique for induction
motor parameter identification. The proposed technique is based
on a simple startup test using a standard V/F inverter. The
recorded startup currents are compared to that obtained by
simulation of an induction motor model. A Modified PSO
optimization is used to find out the best model parameter that
minimizes the sum square error between the measured and the
simulated currents. The performance of the modified PSO is
compared with other optimization methods including lin ....etc

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Abstract
In this paper, a sensorless induction motorparameter identification is presented. Sensorless control employsa variety of estimators and observers of motor speed, torque andfluxes, and accurate information about motor parameters iscrucial to obtain a high performance control. The parameters ofthe induction motor equivalent circuit are obtained by means ofDC an AC tests using the voltage-source inverter. When theseparameters are estimated a closed loop flux estimator and an openloop speed estimator are implemented to determine ....etc

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synopsis for optimising the machining parameters of alloy steel
synopsis for optimising the machining parameters of alloy steel ....etc

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A Time-Varying Convergence Parameter for the LMS Algorithm in the Presence of White Gaussian Noise

ABSTRACT
A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. Rather than using a fixed convergence parameter μ, this approach utilizes a time-varying LMS parameter μ_n. This technique leads to faster convergence and provides reduced mean-squared error compared to the conventional fixed parameter LMS algorithm. The algorithm has been tested for noise reduction and estimation in ....etc

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Abstract
This paper presents a new technique for online identificationof an induction motor rotor time constant. The techniqueis designed for a shaft-sensorless indirect field-oriented controlinduction motor drive with a model reference adaptive system(MRAS)-based speed estimator. The MRAS estimator is sensitiveto the changes in the rotor time constant, and online identificationof that parameter is essential. If rotor parameter error exists, itdoes not only change the achieved rotor speed, but it also changesthe dynamic behavior of the ....etc

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