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color image

Quaternion Zernike moments and their invariants for color image analysis and object recognition

Quaternion Zernike moments and their invariants for color image analysis and object recognition

... for color image, we can also derive the Zernike moment invariants with respect to RST transformation for single channel of the RGB image and the gray-scale image obtained with image ...

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Bagging Stochastic Watershed on Natural Color Image Segmentation

Bagging Stochastic Watershed on Natural Color Image Segmentation

... for image segmentation Mathematical morphology operators are non-linear transforms based on the spa- tial structure of the image that need a complete lattice structure, ...scale image, and that all ...

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Mathematical modeling of textures : application to color image decomposition with a projected gradient algorithm

Mathematical modeling of textures : application to color image decomposition with a projected gradient algorithm

... in color image processing, and in particular color image ...of image decomposition consists in splitting an original image f into two components u and ...original image, ...

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Spatial color image retrieval without segmentation using thumbnails and the Earth Mover's Distance

Spatial color image retrieval without segmentation using thumbnails and the Earth Mover's Distance

... Introduction Color image retrieval methods that do not take into account any spatial layout miss important cues of human visual percep- ...spatial color indexing retrieval has become a very active ...

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Parameterless discrete regularization on graphs for color image filtering

Parameterless discrete regularization on graphs for color image filtering

... 6 Conclusion In this paper, we have considered a discrete regularization framework based on graph differential geometry. The discrete regularization is based on the p- Laplacian and leads to a family of linear and ...

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Nonlocal Mumford-Shah Regularizers for Color Image Restoration

Nonlocal Mumford-Shah Regularizers for Color Image Restoration

... for color image deblurring in the presence of impulse noise, producing better restorations than total variation (TV) regularizer, and moreover providing the edge set detected concurrently with the ...

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A Fully Automated Method to Detect and Segment a Manufactured Object in an Underwater Color Image

A Fully Automated Method to Detect and Segment a Manufactured Object in an Underwater Color Image

... brightness, color channels tuned to red, green, blue and yellow hues ) are extracted from the original color image at several spatial scales (depending on the image ...the image using a ...

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Color LAR codec: a color image representation and compression scheme based on local resolution adjustment and self-extracting region representation

Color LAR codec: a color image representation and compression scheme based on local resolution adjustment and self-extracting region representation

... the image coding and the shape of the ...Local image quality enhancement is then achieved by allowing only for the selected blocks in the second encoding ...

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Derivation, experimental verification, and applications of a new color image model

Derivation, experimental verification, and applications of a new color image model

... the color lines model discussed in Chapter 6 is used for denoising in [71], where the guided filter of [23] is modified so that it encourages the values of noisy pixels to move towards the color lines ...

131

Vectorial Quasi-flat Zones for Color Image Simplification

Vectorial Quasi-flat Zones for Color Image Simplification

... chosen color distance measure, determining their maximal value on the other hand, constitutes a serious efficiency issue, since the attribute distances of all possible vector pixel couples are required for every ...

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Color Correction in the Framework of Color Logarithmic Image Processing

Color Correction in the Framework of Color Logarithmic Image Processing

... multiplicative image formation model. In this paper, the so-called Color Logarithmic Image Processing (CoLIP) framework is ...to color images in the context of the human color visual ...

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COLOR TEXTURED IMAGE RETRIEVAL BY COMBINING TEXTURE AND COLOR FEATURES

COLOR TEXTURED IMAGE RETRIEVAL BY COMBINING TEXTURE AND COLOR FEATURES

... analyzing color images is to process them separately, that means to transform the color image into luminance and chrominance components and color and texture feature are extracted ...RGB ...

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Color Sparse Representations for Image Processing: Review, Models, and Prospects

Color Sparse Representations for Image Processing: Review, Models, and Prospects

... the color channels. This reformulation shows that this model adds color transformation due to V m, which we will call the color ...the color filter (four variables in matrix V m, less the ...

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Robust Joint Image Reconstruction from Color and Monochrome Cameras

Robust Joint Image Reconstruction from Color and Monochrome Cameras

... JOINT IMAGE RECONSTRUCTION We present a joint demoisaicking and denoising approach specially designed to improve images from the color camera utilizing the light-efficient monochrome ...the image ...

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Color Categorization Independent of Color Naming

Color Categorization Independent of Color Naming

... his color categorization rely on his residual color- name comprehension abilities? If so, then (1) his correct re- sponses on the color-name comprehension task should predict his correct responses on ...

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Color naming across languages reflects color use

Color naming across languages reflects color use

... of color labels to choose from for each color chip: the modal terms discovered in the free-choice ...basic color terms. Focal Colors. Following the Munsell-chip color naming experiment, each ...

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Phenomenological marine snow model for optical underwater image simulation: Applications to color restoration

Phenomenological marine snow model for optical underwater image simulation: Applications to color restoration

... B. Impact of marine snow on restorations On the contrary, when applied to the real underwater image of Fig. 6.(a), the method gives very disappointing results: The restored image (Fig. 6.(b)) remains dark ...

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Color notations

Color notations

... To this end, I constructed a project which combined my exploration of the changing relationships of color with a personal course of study of the computer graphic system at the[r] ...

63

Texture, Color and Frequential Proxy-Detection Image Processing for Crop Characterization in a Context of Precision Agriculture

Texture, Color and Frequential Proxy-Detection Image Processing for Crop Characterization in a Context of Precision Agriculture

... In the context of wheat detection, it has been observed that some ear objects are eliminated after cleaning step. These non-detections mainly correspond to near ground ears or ears massively hidden under leaves, hence, ...

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Color Relationalism and Relativism

Color Relationalism and Relativism

... human color vision means that, on the naïve view, a certain chip might appear to have incompatible colors to Brit and Mitt, both normal perceivers viewing the chip in excellent lighting ...

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