A Generic Shape/Texture Descriptor Over Multiscale Edge Field: 2-D Walking Ant Histogram
Abstract
A novel shape descriptor, which can be extracted from the major object edges automatically and used for the multimedia content-based retrieval in multimedia databases, is presented. By adopting a multiscale approach over the edge field where the scale represents the amount of simplification, the most relevant edge segments, referred to as subsegments, which eventually represent the major object boundaries, are extracted from a scale- ....etc

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Power conservation system based on Temperature histogram extraction using Micro-machined Thermopile Array
Introduction
The carbon foot print of individuals and companies is among the biggest concerns world over.
One of the main factors that contribute to the carbon foot print is the power usage.
Reducing the power consumption is a primary motive for all companies, for both environmental and economical reasons.
As of now there is no automated system for power conservation in offices and homes.
This project propo ....etc

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hi........
I need more information and report about Human Color Perception in the HSV Space and its Application in Histogram
Generation for Image Retrieval ....etc

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We have done a detailed analysis of the visual properties of the HSV (Hue, Saturation and Intensity Value) color space and Human visual system. Using the results of these analyses, we determine relative importance of hue and intensity based on the saturation of an image pixel with respect to rod and cone cells excitation of retina. We effectively apply this method to the generation of a color histogram and use it for content-based image retrieval applications. A web-based system has been developed for demonstrating our work ....etc

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i am making ppt on 3d color histogram equalization method using 1d gray scale histogram. need information on same. ....etc

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Abstract
Information hiding for covert communication is rapidlygaining momentum. With sophisticated techniques beingdeveloped in steganography, steganalysis needs to beuniversal. In this paper we propose Universal Steganalysisusing Histogram, Discrete Fourier Transform and SVM(SHDFT). The stego image has irregular statisticalcharacteristics as compare to cover image. Using Histogramand DFT, the statistical features are generated to train One-Class SVM to discriminate the cover and stego image.SHDFT algorithm is found to be efficient an ....etc

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hi,,i am rohitha,pursuing my final year,,we have to submit our documentation of mini project ,,my mini project is in DIP,,its title is REVERSIBLE DATA HIDING BASED ON HISTOGRAM MODIFICATION OF PIXEL DIFFERENCES,,,can u kindly send the documentation or any report regarding thid project,,,its very very urgent,,i will be very grateful to you,if u help me out in this ,,thankyou,,awaiting your reply,,my email id is [email protected] ....etc

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A Nonparametric Approach for Histogram Segmentation-IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 1, JANUARY 2007-Java


Abstract—
In this work, we propose a method to segment a 1-D histogram without a priori assumptions about the underlying density function. Our approach considers a rigorous definition of an admissible segmentation, avoiding over and under segmentation problems. A fast algorithm leading to such segmentation is proposed.
The approach is tested both with synthetic and real data. An application to the segment ....etc

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Here, the fast image contrast enhancement is achieved based on histogram equalization (HE) both for color images and the gray-level images. A process called Multi-HE is proposed for the gray-level images. In this method, the input image is decomposed into several sub-images and then the classical HE process is applied to each of the sub-images separately. Also two different discrepancy functions are proposed for the purpose of decomposing the input image. Many simulations have been run and they show that both these methods are better in preser ....etc

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Histogram and histogram processing


Histogram: application
Distribution of gray-levels can be judged by measuring a histogram
Histogram provides global descriptions of the image (no local
details)
Fewer, larger bins can be used to trade off amplitude resolution
against sample size. ....etc

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