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Illumination estimation is basic to white balancing digital color images and to color constancy. The key to automatic white balancing of digital images is to estimate precisely the color of the overall scene illumination. Many methods for estimating the illumination’s color has proposed. Though not the most exact, one of the simplest and quite extensively used methods are the gray world algorithm, white patch, max-RGB, Gray edge using first order derivative and gray edge using second order derivative, saturation weighting. The first-three methods have neglected the multiple light sources illuminate. In this work, we investigate how illuminate estimation techniques can be improved using fuzzy membership. The main aim of this paper is to evaluate performance of Fuzzy Enhancement based saturation weighting technique for different light sources (single, multiple, indoor scene and outdoor scene) under different conditions. The experiment has clearly shown the effectiveness of the proposed technique over the available methods.
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We propose an image-based method using Contourlet transform [5] to detect liveness in fingerprint biometric systems. We observe that real and spoof fingerprint images exhibit different textural characteristics. Wavelet transform although widely used for liveness detection is not the ideal one. Wavelets are not very effective in representing images containing lines and contours [5]. Recent Contourlet transform allows representing contours in a more efficient way than the wavelets [5]. Fingerprint is made of only contours of ridges; hence Contourlet transform is more suitable for fingerprint processing than the wavelets. Therefore, we use Contourlet energy and co-occurrence signatures to capture textural intricacies of images. After downsizing features with Plus l – take away r method, we test them on various classifiers: logistic regression, support vector machine and AdTree using our databases consisting of 185 real, 90 Fun-Doh (Play-Doh) and 150 Gummy fingerprint images. We then select the best classifier and use at as a base classifier to form an ensemble classifier obtained by fusing a stack of “K” base classifiers using the “Majority Voting Rule” (i.e. bagging). Experimental results indicate that, the new liveness detection approach is very promising as it needs only one fingerprint and no extra hardware to detect vitality
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In this paper, we present the performance analysis of adaptive bilateral filter by pixel to noise ratio and mean square errors. It was evaluate changing the parameters of the adaptive filter half width values and standard deviations. In adaptive bilateral filter, the edge slope is enhanced by transforming the histogram via a range filter with adaptive offset and width. The variance of range filter can also be adaptive. The filter is applied to improve the sharpens of a gray level and color image by increasing the slope of the edges without producing overshoot or undershoots. The related graphs were plotted and the best filter parameters are obtained.
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Illumination estimation is basic to white balancing digital color images and to color constancy. The key to automatic white balancing of digital images is to estimate precisely the color of the overall scene illumination. Many methods for estimating the illumination’s color has proposed. Though not the most exact, one of the simplest and quite extensively used methods are the gray world algorithm, white patch, max-RGB, Gray edge using first order derivative and gray edge using second order derivative, saturation weighting. The first-three methods have neglected the multiple light sources illuminate. In this work, we investigate how illuminate estimation techniques can be improved using fuzzy membership. The main aim of this paper is to evaluate performance of Fuzzy Enhancement based saturation weighting technique for different light sources (single, multiple, indoor scene and outdoor scene) under different conditions. The experiment has clearly shown the effectiveness of the proposed technique over the available methods.
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ABSTRACT The availability of imaging sensors operating in multiple spectral bands has led to the requirement of image fusion algorithms that would combine the image from these sensors in an efficient way to give an image that is more perceptible to human eye. Multispectral Image fusion is the process of combining images optically acquired in more than one spectral band. In this paper, we present a pixel-level image fusion that combines four images from four different spectral bands namely near infrared(0.76-0.90um), mid infrared(1.55-1.75um),thermal- infrared(10.4-12.5um) and mid infrared(2.08-2.35um) to give a composite colour image. The work coalesces a fusion technique that involves linear transformation based on Cholesky decomposition of the covariance matrix of source data that converts multispectral source images which are in grayscale into colour image. This work is composed of different segments that includes estimation of covariance matrix of images, cholesky decomposition and transformation ones. Finally, the fused colour image is compared with the fused image obtained by PCA transformation.
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ABSTRACT The availability of imaging sensors operating in multiple spectral bands has led to the requirement of image fusion algorithms that would combine the image from these sensors in an efficient way to give an image that is more perceptible to human eye. Multispectral Image fusion is the process of combining images optically acquired in more than one spectral band. In this paper, we present a pixel-level image fusion that combines four images from four different spectral bands namely near infrared(0.76-0.90um), mid infrared(1.55-1.75um),thermal- infrared(10.4-12.5um) and mid infrared(2.08-2.35um) to give a composite colour image. The work coalesces a fusion technique that involves linear transformation based on Cholesky decomposition of the covariance matrix of source data that converts multispectral source images which are in grayscale into colour image. This work is composed of different segments that includes estimation of covariance matrix of images, cholesky decomposition and transformation ones. Finally, the fused colour image is compared with the fused image obtained by PCA transformation.
COLOUR IMAGE REPRESENTION OF MULTISPECTRAL IMAGE FUSION
COLOUR IMAGE REPRESENTION OF MULTISPECTRAL IMAGE FUSION
acijjournal
Sonar images produced due to the coherent nature of scattering phenomenon inherit a multiplicative component called speckle and contain almost homogeneous as well as textured regions with relatively rare edges. Speckle removal is a pre-processing step required in applications like the detection and classification of objects in the sonar image. In this paper computationally efficient Fractional Integral Mask algorithms to remove the speckle noise from sonar images is proposed. Riemann- Liouville definition of fractional calculus is used to create Fractional integral masks in eight directions. The use of a mask incorporated with the significant coefficients from the eight directional masks and a single convolution operation required in such case helps in obtaining the computational efficiency. The sonar image heterogeneous patch classification is based on a new proposed naive homogeneity index which depends on the texture strength of the patches and despeckling filters can be adjusted to these patches. The application of the mask convolution only to the selected patches again reduce the computational complexity. The non-homomorphic approach used in the proposed method avoids the undesired bias occurring in the traditional homomorphic approach. Experiments show that the mask size required directly depends on the fractional order. Mask size can be reduced for lower fractional orders thus ensuring the computation complexity reduction for lower orders. Experimental results substantiate the effectiveness of the despeckling method. The different non reference image performance evaluation criterion are used to evaluate the proposed method.
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Face detection for video summary using enhancement based fusion strategy
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For Determination of Particle Size various method are used. here I mentioned the Laser Light scattering for determining the Particle Size. Mainly two type of laser scattering are used, 1. Static laser light scattering. 2. Dynamic laser light scattering. detail about there principle we see in the slide . . . . If in any point you didn't understood ,you can contact with me. hope it useful to you. Thank You.
Particle Size Analysis by Laser Diffraction Method.
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Color vs. Appearance
Anne Ehrenberger
Abstract Human face conveys more information about identity of person. Human face recognition is one of the most challenging problem and it can be used in many applications at different security places in airports, defense and banking sectors etc.In this work used colored features obtained from color segmentation because in real time scenario color provides the more information than gray scale image but it has a drawback. To overcome this drawback gray scale feature extracted from co-occurrence matrix of an image and for efficient face recognition of human Face under different illumination conditions spectral features can be extracted from face texture. These three feature vectors concatenated into a single feature vector and applied Lenc-Kral matching technique to measure similarity between the database and query image, the similarity is high then face is recognized. Keywords: Face recognition, illumination condition, local texture features, color segmentation.
Face skin color based recognition using local spectral and gray scale features
Face skin color based recognition using local spectral and gray scale features
eSAT Journals
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Detection of skin diasease using curvlets
Detection of skin diasease using curvlets
eSAT Publishing House
NIR three dimensional optical imaging of breast model using f-DOT using f-DOT with target specified contrast agent. Three dimensional mathematical modeling of DOT,f-DOT.
NIR Three dimensional imaging of breast model using f-DOT
NIR Three dimensional imaging of breast model using f-DOT
Nagendra Babu
Abstract In this research, holographic optical element applied for beautification recorded in holographic surface relief photoresist. Various symmetric periodic structure with high diffraction efficiency in photosensitive material depends on various recording geometry parameters are explained. We used holographic dual beam multiple interference method for this pattern creation. A long range periodicity confirmed with the help of optical microscope, laser light diffraction and scanning electron microscope. Combination of symmetric structured holographic optical elements, DPSS laser source and bi-directional RPM controller results the proto type HOLO-DRZZLER product. Our auspicious aim is to commercialize and our product is mainly meant for outdoor beautification application. Index Terms: Holography, photoresist, holographic decoration, laser and holographic optical element
Holographic optical elements for beautification
Holographic optical elements for beautification
eSAT Journals
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Holographic optical elements for beautification
Holographic optical elements for beautification
eSAT Publishing House
Similar a Cosmetic Gloss Measurement Ver2
(20)
Cosmetic Gloss Measurement VerT3
Cosmetic Gloss Measurement VerT3
Shadow Detection and Removal Techniques A Perspective View
Shadow Detection and Removal Techniques A Perspective View
IRJET- Object Recognization from Structural Information using Perception
IRJET- Object Recognization from Structural Information using Perception
Gatf an introduction to appearance analysis
Gatf an introduction to appearance analysis
GATF An Introduction to Appearance Analysis
GATF An Introduction to Appearance Analysis
V.KARTHIKEYAN PUBLISHED ARTICLE
V.KARTHIKEYAN PUBLISHED ARTICLE
V.karthikeyan published article a..a
V.karthikeyan published article a..a
Samba hair
Samba hair
COLOUR IMAGE REPRESENTION OF MULTISPECTRAL IMAGE FUSION
COLOUR IMAGE REPRESENTION OF MULTISPECTRAL IMAGE FUSION
COLOUR IMAGE REPRESENTION OF MULTISPECTRAL IMAGE FUSION
COLOUR IMAGE REPRESENTION OF MULTISPECTRAL IMAGE FUSION
Computationally Efficient Methods for Sonar Image Denoising using Fractional ...
Computationally Efficient Methods for Sonar Image Denoising using Fractional ...
Illumination Invariant Hand Gesture Classification against Complex Background...
Illumination Invariant Hand Gesture Classification against Complex Background...
Face detection for video summary using enhancement based fusion strategy
Face detection for video summary using enhancement based fusion strategy
Particle Size Analysis by Laser Diffraction Method.
Particle Size Analysis by Laser Diffraction Method.
Color vs. Appearance
Color vs. Appearance
Face skin color based recognition using local spectral and gray scale features
Face skin color based recognition using local spectral and gray scale features
Detection of skin diasease using curvlets
Detection of skin diasease using curvlets
NIR Three dimensional imaging of breast model using f-DOT
NIR Three dimensional imaging of breast model using f-DOT
Holographic optical elements for beautification
Holographic optical elements for beautification
Holographic optical elements for beautification
Holographic optical elements for beautification
Último
E-Invoicing for Fintech Belgium Webinar
Webinar on E-Invoicing for Fintech Belgium
Webinar on E-Invoicing for Fintech Belgium
FinTech Belgium
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