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Title: image denoising using curvelet transform ppt
Page Link: image denoising using curvelet transform ppt -
Posted By: msrama
Created at: Friday 06th of October 2017 03:02:37 PM
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Title: digital image hiding using curvelet transform ppt
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Posted By: ekisper
Created at: Thursday 17th of August 2017 06:15:19 AM
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Title: feature extraction of currency note using wavelet transform
Page Link: feature extraction of currency note using wavelet transform -
Posted By: madhu.j
Created at: Friday 06th of October 2017 03:05:10 PM
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Title: image fusion of ct and mri image using curvelet transform ppt
Page Link: image fusion of ct and mri image using curvelet transform ppt -
Posted By: jiya
Created at: Thursday 17th of August 2017 08:00:44 AM
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Title: free code for feature extraction with trace transform in matlab
Page Link: free code for feature extraction with trace transform in matlab -
Posted By: suriya654321
Created at: Friday 06th of October 2017 02:52:50 PM
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Hough transform

The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing.The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure. This voting procedure is carried out in a parameter space, from which object candidates are obtained as local maxima in a so-called accumulator space that is explicitly constructed by the algorithm for computing the Hough transform.

The classical Hough transform was concerned with ....etc

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Title: image retrieval using curvelet transform matlab code download
Page Link: image retrieval using curvelet transform matlab code download -
Posted By: kirankesav
Created at: Thursday 05th of October 2017 03:23:46 AM
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Title: feature extraction using curvelet transform
Page Link: feature extraction using curvelet transform -
Posted By: end47
Created at: Thursday 05th of October 2017 05:26:20 AM
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feature extraction using curvelet transform

Introduction

Designing a completely automatic and efficient face recognition system is a grand challenge for biometrics, computer vision and pattern recognition researchers. Generally, such a recognition system is able to perform three subtasks: face detection, feature extraction and classification. We ll put our focus on feature extraction, the crucial step prior to classification. The key issue here is to construct a representative feature set that can enhance system-performance both in terms of ....etc

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Title: matlab code for edge detection in microscopy images using curvelet transform
Page Link: matlab code for edge detection in microscopy images using curvelet transform -
Posted By: nehaa
Created at: Thursday 17th of August 2017 08:36:41 AM
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Abstract

Background

Despite significant progress in imaging technologies, the efficient detection of edges and elongated features in images of intracellular and multicellular structures acquired using light or electron microscopy is a challenging and time consuming task in many laboratories.

Results

We present a novel method, based on the discrete curvelet transform, to extract a directional field from the image that indicates the location and direction of the edges. This directional field is then processed using the non-maximal suppression ....etc

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Title: NONLINEAR FEATURE EXTRACTOR FOR TEXTURE SEGMENTATION
Page Link: NONLINEAR FEATURE EXTRACTOR FOR TEXTURE SEGMENTATION -
Posted By: mithunk
Created at: Thursday 05th of October 2017 03:53:22 AM
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NONLINEAR FEATURE EXTRACTOR FOR TEXTURE SEGMENTATION


presented by
Presented By
Puneet Kumar Sharma
M0819C010
M.Tech-II (Electronic - Computer )


abstract

This article presents a feed-forward network architecture that can be used as a nonlinear feature extractor for texture segmentation. It comprises two layers of feature extraction units; each layer is arranged into several planes, called feature maps. The features extracted from the second layer are used as the final texture features. The featur ....etc

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Title: Digital image hiding using curvelet transform
Page Link: Digital image hiding using curvelet transform -
Posted By: shashank
Created at: Thursday 17th of August 2017 04:54:28 AM
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