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edge-based image model

Edge-based image steganography

Edge-based image steganography

... stego image or in LSB plane extracted from the stego ...an image to find any anomaly which are introduced by ...to model cover image and to compute distortion between the cover and the stego ...

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Improved HIS Model with Application to Edge Detection for Color Image

Improved HIS Model with Application to Edge Detection for Color Image

... digital image processing, a lot of methods were proposed for edge detection on ...general, edge detection is considered a multi-stage process includes four different phases: conditioning, feature ...

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VLSI ARCHITECTURE FOR IMAGE SCALING BASED ON THE EDGE ADAPTIVE AREA PIXEL MODEL

VLSI ARCHITECTURE FOR IMAGE SCALING BASED ON THE EDGE ADAPTIVE AREA PIXEL MODEL

... many image processing applications. In this paper, we present an edge-adaptive area-pixel scaling ...simple edge catching technique is adopted to preserve the image edge features ...

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Face Detection using Color based Segmentation and Edge Detection

Face Detection using Color based Segmentation and Edge Detection

... The increasing use of computer vision in security in place of humans led many to research the problem of face detection in images. The problem is not a petty one as the classification of a human face proves to ...

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An Approach for Reconstructed Color Image Segmentation using Edge Detection and Threshold Methods

An Approach for Reconstructed Color Image Segmentation using Edge Detection and Threshold Methods

... digital image. The edge detection technique plays an important role in most of the ...primary image segmentation which perform as a well interpreted link between low and high level image ...an ...

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DEEP NEURAL CLASSIFICATION AND LOGIT REGRESSION BASED ENERGY EFFICIENT ROUTING 
IN WIRELESS SENSOR NETWORK

DEEP NEURAL CLASSIFICATION AND LOGIT REGRESSION BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK

... Thus, edge-bundling technique has overcome the aforementioned problems by bundling similar edges in parallel ...of edge- bundling techniques which are cost-based approach, geometry-based ...

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The Sub pixel Edge Detection Based on Improved Zernike Moment for Brain CT Image

The Sub pixel Edge Detection Based on Improved Zernike Moment for Brain CT Image

... to edge, and ∅ is the angle between thel and x ...the image edge in the Zernike moments for different ...the model after rotating angle ∅ for the Figure ...the edge of the ...

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ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND 
EDGE DIRECTION

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION

... entire image, only one third of sampled pixels have genuine values from the ...interpolation model is proposed. Pixels are divided into edge pixels and non-edge ...an edge, then smooth ...

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Morphologic Regularization and Edge-Preserving Super Resolution (Sr) Approach Based On Novel Bregman Algorithm

Morphologic Regularization and Edge-Preserving Super Resolution (Sr) Approach Based On Novel Bregman Algorithm

... in image processing to store its unique ...any image processing applications because it helps to preserve some characteristics from ...we model a non linear regularization method based on ...

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An Efficient Model for Content based Image Retrieval

An Efficient Model for Content based Image Retrieval

... features based methods yields good ...region based image ...of image to perform better ...an image into regions has been used in recent ...an edge density approach for detecting ...

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Content Based Image Retrieval using Color, Multi Dimensional Texture and Edge Orientation

Content Based Image Retrieval using Color, Multi Dimensional Texture and Edge Orientation

... the image such as the ...a model in which the user can select “object of user’s interest” of various shapes; non homogenous texture includes different colors based on many objects present in the same ...

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Medical image segmentation using edge based active contours

Medical image segmentation using edge based active contours

... medical image segmentation. A deformable model can be described as a technique for defining region boundaries by using curves or surfaces close to the edges that deform under the effect of ...an ...

171

SISI Metric: Image Quality Assessment from Edge Information based on Local Polynomial Approximation Model

SISI Metric: Image Quality Assessment from Edge Information based on Local Polynomial Approximation Model

... expensive image transforms ...of image interpolation algorithm, our method can further facilitate the accuracy of image processing ...Conventional image quality measures developed for natural ...

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Preservation of image edge feature based on snowfall model smoothing filter

Preservation of image edge feature based on snowfall model smoothing filter

... Snowfall model as a novel edge preserving smoothing filter based on nature snowfall was presented in this ...snowfall model, it was applied to the pretreatment of region segmentation ...

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Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures

Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures

... Storing image digitally has been practiced for many ...higher image quality, and all this over lower bandwidth ...different image compression techniques and processing systems, there is a very big ...

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Region Separation Techniques for Medical Images

Region Separation Techniques for Medical Images

... edges. Edge detection method [37] is discovering pixel on the region ...boundary. Edge detection method tries to determine image segmentation by noticing the pixels or edges between diverse regions ...

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Comparisons and Implementation  of different Segmentation algorithm based on entropy and energy

Comparisons and Implementation of different Segmentation algorithm based on entropy and energy

... various edge detection techniques and analyze the performance of the various techniques in different ...The image segmentation allow the user to divides an image into parts that have strong ...

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Edge Adaptive Color Demosaicking Based on the Spatial Correlation of the Bayer Color Difference

Edge Adaptive Color Demosaicking Based on the Spatial Correlation of the Bayer Color Difference

... the image without the CFA error propagation and the inefficient computations due to the preinterpolation pro- ...[24]. Based on the SSC, they proposed heterogeneity-projection technique that used the ...

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An Investigation of Segmentation Techniques in Image Processing for MRI Brain Tumor Images

An Investigation of Segmentation Techniques in Image Processing for MRI Brain Tumor Images

... complete image of brain. This image is visually examined by the physician for detection and diagnosis of brain ...The image processing techniques allows the detection of tumor tissue with accuracy ...

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BRAIN TUMOUR DETECTION - A REVIEW

BRAIN TUMOUR DETECTION - A REVIEW

... Brain tumor is an abnormal growth of cells where they form a lump of cells because of uncontrolled growth and division of cells. The normal cells transform into carcinogenic cells which become unable to inhibit growth ...

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