Grayscale Image Retrieval using DCT on Row mean,
Column mean and Combination



Abstract

Today in the age of information explosion, how to search appropriate data from huge information
pool has become vital issue. Images have giant share in this information pool. Because of easy
availability of imaging devices, millions of images are being added to image pool every day. Image
retrieval deals with searching relevant images from large image database. The paper presents novel
image retrieval techniques bas ....etc

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can you provide clear explanation for the formulas used in adaptive fuzzy k mean clustering algorithm for image segmentation... n how the calculations are done??? ....etc

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Hi,

Can anybody help me with the matlab code of Clustering the dataset using fuzzy k mean algorithm?

Regards,
Gowri
Hi,

Can anybody help me with the matlab code of Clustering the dataset using fuzzy C mean algorithm?

Regards,
Gowri ....etc

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hi
I need vhdl code for object tracking by mean_shift algorithm,
can you help me? ....etc

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Hai folks

Can anyone please provide the project -> background subtraction in opencv using gaussian mixtures project ... i have surfed on net to know about it ... you all are helping in findind and doing semister projects succesfuully thanx to that nature. can any one tell me where can i get clear idea on my project and code helpers etc..

regards
maroom ....etc

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Jet impingement heat transfer – Part I: Mean and root-mean-square heat transfer and velocity distributions
Abstract
Impinging jets provide a means of achieving high heat transfer coefficients both locally and on an area averaged basis. The currentwork forms the first stage of a two part investigation of heat transfer distributions from a heated flat surface subject to an impinging airjet for Reynolds numbers from 10,000 to 30,000 and non-dimensional surface to jet exit spacing, H/D, from 0.5 to 8. In the present paper,the rel ....etc

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LEAST MEAN SQUARE ALGORITHM

Introduction


The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 is an adaptive algorithm, which uses a gradient-based method of steepest decent . LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector which eventually leads to the minimum mean square error. Com ....etc

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LEAST MEAN SQUARE ALGORITHM



Introduction
The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 is an adaptive algorithm, which uses a gradient-based method of steepest decent . LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector ....etc

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Hey,
we need a opencv code for brain tumour detection using abc algorithm..
if not abc algorithm anyother algorithm is also fine..can u please help us out with this
....etc

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Hi,

I am doing a reasearch based on PCB solder Joint Segmentation and Quality Analysis of a solder Joint.
I am using C# and Emgu Cv as the wrapper for open Cv.

Solder Joint Segmentation,i used K-means algortihm and it works fine.
I am now at the final stage and there defect classification of a solder Joint is required.
Can you give me a hint how to start with C means clustering?
I would be very glad if possible.
....etc

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