IMAGE ENHANCEMENT TECHNIQUES USING FREQUENCY DOMAIN FILTERING


Image Enhancement?
It is the process of making an image more pleasable than the original image.

Why needed?
Noise introduced in to the image, out-of focus , atmospheric conditions, latency of imaging hardware.

Applications

Medical imaging.
Satellite imaging.
Material testing in industries.
Fingerprint identification.
Printing and publishing industry.

Conclusion

Thus, image enhancement techniques in frequency domain improves the ....etc

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IMAGE ENHANCEMENT TECHNIQUES

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INTRODUCTION
Image enhancement widely used in computer graphics.
It is the sub areas of image processing.
The principle objectives of image enhancement techniques is to process an image so that the result is more

suitable than the original image for a specific application .
METHODS FOR IMAGE ENHANCEMENT
Image enhancement techniques can be divided into two broad categories:

1.Spatial domain methods .
2 Frequency domain methods.
SPATIAL DOMAIN METHODS ....etc

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Face Recognition using the Techniques Base on Principal Component Analysis (PCA)

several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application.

Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear ....etc

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Presented By:
Shlomo Greenberg, Mayer Aladjem, Daniel Kogan and Itshak Dimitrov
Electrical and Computer Engineering Department,
Abstract
Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we propose two methods for fingerprint image enhancement. The first one is carried out using local hist ....etc

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image enhancement techniqyes matlab code
....etc

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i want more information about finger print image enchancement using filtering tech.....i did project in it...so i want features and i used java coding...so i want more information about java how it is used in project...and i want information about how it can be develop using microprocessor.. ....etc

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During several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application. Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear Discriminant (FLD), Face Specific Subspace (FSS) will be discussed. We will review the developed idea used in the 2D-PCA ....etc

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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....etc

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A Face Detection and Recognition System based on Rectangular Feature Orientation



INTRODUCTION
In 2001 Viola and Jones proposed a machine
learning approach for face detection which is capable of
processing images extremely rapidly and achieving high
detection rates. There are three main features of the Viola
and Jones face detection approach: (a) the use integral
image that allows for very fast feature evaluation, (b) they
construct a classifier by selecting a small ....etc

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Presented By
Ramakrishna Paruchuri

Abstract
This article is the brief summary based on the reference article “advances in the face
detection and recognition technologies” by Atsushi SATO, Hitoshi IMMOKA, SUZUKI
and HOSAI. This report briefly describes the advances in the authors face detection and
recognition technologies. For the face detection they proposed a combined scheme for
both face and eye based on the Generalized Learning Vector Quantization method. For
the face recognition a perturbation method has been impr ....etc

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