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Binary Image Visual Cryptography

Binary Image Visual Cryptography

... of binary images lead to an increase in the size of the original image and the size and number of the shares and this considered a weak point where it requires a large storage space and increasing the time ...

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A Fast Convex Hull Algorithm for Binary Image

A Fast Convex Hull Algorithm for Binary Image

... In this paper, we derive some new convex hull properties, such as monotonicity, and use them to design algorithm for extracting convex hull of object in binary image. The proposed algorithm has a high ...

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Implementation of Binary Image Steganography in FPGA

Implementation of Binary Image Steganography in FPGA

... Where Wt denotes the weight corresponding to the crmi LTP whose value is t, and tuned to control the sensitivity of distortion score map and their values are experimentally set as = 1/2 and = 1/2. While calculating the ...

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Binary Image Steganography using Flipping Distortion Technique

Binary Image Steganography using Flipping Distortion Technique

... digital binary images are widely used in the applications including legal documents, digital books, maps, and architectural and electronic drawings and in business ...of binary images as well as detection ...

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MATHEMATICAL MORPHOLOGY BASED CHARACTERIZATION OF BINARY IMAGE

MATHEMATICAL MORPHOLOGY BASED CHARACTERIZATION OF BINARY IMAGE

... of image object with struc- turing elements result in nonlinear smoothing filters, also known as morphologic transforms (Serra, 1982; Maragos and Schafer, ...an image followed by erosion is closing ...

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Binary Image Manifold to Overcome Computational Complexities

Binary Image Manifold to Overcome Computational Complexities

... method: image preprocessing, atlases selection, and combination. For image preprocessing step, it's performed in 2 ...After image normalization, each normalized raw picture of atlases ˆRi is aligned ...

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Automatic Foreground Initialization for Binary Image Segmentation

Automatic Foreground Initialization for Binary Image Segmentation

... input image itself, which makes it applicable to any object class, as long as we can find features that distinguish it from the ...input image and only mine the input image itself, making use of ...

106

A novel and maximum likelihood segmentation algorithm for touching
      and overlapping human chromosome images

A novel and maximum likelihood segmentation algorithm for touching and overlapping human chromosome images

... chromosomes image were converted to binary image. In order for binary conversion, proper thresholding method should be ...After binary there was some loss of ...the image. For ...

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IAENG International Journal of Applied Mathematics, 36:1, IJAM_36_1_8

IAENG International Journal of Applied Mathematics, 36:1, IJAM_36_1_8

... to binary im- age deconvolution using Positive Semidefinite (PSD) ...problem: binary image deconvolution requires the minimization of a global energy function over binary variables, taking ...

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Restoration of degraded documents using image binarization technique

Restoration of degraded documents using image binarization technique

... Edge detection is considered important in image segmentation. Here in this paper canny edge detector is used. The Canny edge detector is an edge detection operator that uses a multi- stage algorithm to detect a ...

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Automatic Segmentation and Yield Measurement of Fruit using Shape Analysis

Automatic Segmentation and Yield Measurement of Fruit using Shape Analysis

... input image was first applied to the pre-processing step of ...pre-processed image then converted from the RGB color space into the L*a*b ...“a” image plane was used for the coarse detection of fruit ...

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ROBUST FACE DETECTION USING COLOR SEGMENTATION AND ENERGY THRESHOLDING

ROBUST FACE DETECTION USING COLOR SEGMENTATION AND ENERGY THRESHOLDING

... input image that have at least the correct color ...grayscale image into a binary ...threshold image leads to better ...grayscale image is converted into a binary image ...

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Image Steganalysis with Binary Similarity Measures

Image Steganalysis with Binary Similarity Measures

... In this paper, we have addressed the problem of steganalysis of images. We have developed a technique for discriminat- ing between cover images and stego images obtained from various steganographic methods. Our approach ...

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International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... An image segmentation algorithmwhich may suggest regression orexcessive cell growth of a melanoma, to extract the true border that reveals the global structure irregularity, This algorithm is applied to the ...

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IMAGE ENHANCEMENT USING MATLAB

IMAGE ENHANCEMENT USING MATLAB

... RGB image to binary image, black and white and negative of an image ,the output image which we get will visible to us with their contrast ...an image. Moreover, brightness of an ...

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Online Full Text

Online Full Text

... from binary image is due to the fact that image data as well as the noise share the same small set of values (either 0 or 255) which complicates the process of detecting and removing the ...for ...

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Color Image Segmentation Based on PCNN

Color Image Segmentation Based on PCNN

... output binary image, the gray level of the target and the background are concentrated in a pixel segment, so that the gray distribution of the superimposed image appears "U" font, as shown in ...

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IMAGE ENCRYPTION USING THE INCIDENCE MATRIX

IMAGE ENCRYPTION USING THE INCIDENCE MATRIX

... a binary image is done in a sys- tematic way by the ”xor ” logical connector between the mask and the target image, on the other hand in the case where the image is in gray level, the en- ...

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Design Features Recognition Using Image Processing Techniques

Design Features Recognition Using Image Processing Techniques

... Read/capture image, Converting RGB image to Binary image, Thresholding the Image, Recognize boun- daries of objects, Finding areas of objects and area filtering, Finding bounding box of ...

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Detecting Facial Wrinkles based on Gabor Filter          using Geometric Constraints

Detecting Facial Wrinkles based on Gabor Filter using Geometric Constraints

... Key wrinkles site are detected with high Gabor filter responses and curvilinear shapes. Key site wrinkles are detected in first module. Here successive thresholing is applied to get binary image and ...

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