DIP1401

HCL LEARNING LTD

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ABSTRACT EMB1401

Automation based Projects APPLICATION OF ZIGBEE LOCATION TRACING

MONITORING SYSTEM FOR ATM DEVICE THEFT

IEEE 2014

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9382207007,

9443558751.

ABSTRACT

As the society has been computerized and automated, the crime for

the ATM device is increased due to the wide distribution of ATM device,

even the banking is easy. The theft is shown over 90% the very high

proportion among the financial accident crime. With the social situation,

the study is going to suggest the method to react rapidly and minimize

the loss of damage by realizing the real time location; we want to

implement an accurate location tracking mechanism using Zigbee along

with GPS as a rapid reaction to the theft for external ATM equipment.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .

HCL LEARNING LTD

USING

EMBEDDED

ABSTRACT EMB1402

Automation based Projects Vision-based Multimodel Human-Computer

Interaction using Hand and Head Gestures

IEEE 2014

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Call @

9382207007,

9443558751.

Abstract:

Human–computer interaction (HCI) involves the study, planning, and

design of the interaction between people (users) and computers. In this

project, a real-time Human-Computer Interaction based on the hand

data glove for gesture recognition is proposed. One of the important

parts of our body is our hand which is most frequently used for the

interaction in Digital Environment and thus complexity and flexibility of

motion of hands are the research topics. To recognize these hand

gestures, more accurately and successfully, data glove is used.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .

HCL LEARNING LTD

USING MATLAB ABSTRACT DIP1401

Automation based Projects [Type the document subtitle]

IEEE 2014

More Info

Call @

9382207007,

9443558751.

In this paper a novel, fast soft switching filtering technique intended for

impulsive noise removal in color images is presented. The impulsive

noise detection algorithm is based on the concept of trimmed cumulated

distances, which are assigned to the central pixel of a sliding filtering

window. The trimmed sum of distances serves as an indicator of the

strength of impulses injected to the image by the impulsive noise process

and the restored pixel is obtained as a weighted mean of the processed

pixel and the sharpening vector median filter output.

Keywords-impulsive noise removal, image enhancement.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .

HCL LEARNING LTD

USING MATLAB ABSTRACT DIP1401

Automation based Projects [Type the document subtitle]

IEEE 2014

More Info

Call @

9382207007,

9443558751.

In this paper a novel, fast soft switching filtering technique intended for

impulsive noise removal in color images is presented. The impulsive

noise detection algorithm is based on the concept of trimmed cumulated

distances, which are assigned to the central pixel of a sliding filtering

window. The trimmed sum of distances serves as an indicator of the

strength of impulses injected to the image by the impulsive noise process

and the restored pixel is obtained as a weighted mean of the processed

pixel and the sharpening vector median filter output.

Keywords-impulsive noise removal, image enhancement.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .

HCL LEARNING LTD

USING MATLAB ABSTRACT DIP1401

Automation based Projects [Type the document subtitle]

IEEE 2014

More Info

Call @

9382207007,

9443558751.

In this paper a novel, fast soft switching filtering technique intended for

impulsive noise removal in color images is presented. The impulsive

noise detection algorithm is based on the concept of trimmed cumulated

distances, which are assigned to the central pixel of a sliding filtering

window. The trimmed sum of distances serves as an indicator of the

strength of impulses injected to the image by the impulsive noise process

and the restored pixel is obtained as a weighted mean of the processed

pixel and the sharpening vector median filter output.

Keywords-impulsive noise removal, image enhancement.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .

HCL LEARNING LTD

USING MATLAB ABSTRACT DIP1401

Automation based Projects [Type the document subtitle]

IEEE 2014

More Info

Call @

9382207007,

9443558751.

In this paper a novel, fast soft switching filtering technique intended for

impulsive noise removal in color images is presented. The impulsive

noise detection algorithm is based on the concept of trimmed cumulated

distances, which are assigned to the central pixel of a sliding filtering

window. The trimmed sum of distances serves as an indicator of the

strength of impulses injected to the image by the impulsive noise process

and the restored pixel is obtained as a weighted mean of the processed

pixel and the sharpening vector median filter output.

Keywords-impulsive noise removal, image enhancement.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .

HCL LEARNING LTD

USING MATLAB ABSTRACT DIP1401

Automation based Projects [Type the document subtitle]

IEEE 2014

More Info

Call @

9382207007,

9443558751.

In this paper a novel, fast soft switching filtering technique intended for

impulsive noise removal in color images is presented. The impulsive

noise detection algorithm is based on the concept of trimmed cumulated

distances, which are assigned to the central pixel of a sliding filtering

window. The trimmed sum of distances serves as an indicator of the

strength of impulses injected to the image by the impulsive noise process

and the restored pixel is obtained as a weighted mean of the processed

pixel and the sharpening vector median filter output.

Keywords-impulsive noise removal, image enhancement.

H C L C D C , N O : 5 2 , V E L A C H E R Y M A I N R O A D , V E L A C H E R Y , C H E N N A I - 4 2 .