A new chromatic edge detector used for color image segmentation

Chapron, M.

doi:10.1109/icpr.1992.201987

Cited by 28 publications

(16 citation statements)

References 9 publications

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“…Cumani Cumani (1991) is the first to have use multidimensional gradients for detecting edges. Chapron Chapron (1992) Chapron (1997) used the Canny-Deriche gradient in each component. The DempsterShafer theory is used in Chapron (2000) for fusing the gradients.…”

Section: Multidimensional Gradient Methodsmentioning

confidence: 99%

New Robust Obstacle Detection System Using Color Stereo Vision

Cabani¹,

Toulminet²,

Bensrhair³

2011

Advances in Theory and Applications of Stereo Vision

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Section: Multidimensional Gradient Methodsmentioning

confidence: 99%

New Robust Obstacle Detection System Using Color Stereo Vision

Cabani¹,

Toulminet²,

Bensrhair³

2011

Advances in Theory and Applications of Stereo Vision

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“…The variations in hue are often more pronounced than expected in a natural scene due to the fact that neighboring pixels are used in the recovery of unknown values. Due to the trichromatic color representation model and the linear response of digital light sensors, it can be claimed that pixels with similar hues but different intensities should exhibit similar (if not identical) R/G and B/G color ratios [5]- [7]. The proposed LCR creates a model of the hue for the region under consideration and uses it to estimate the G component based on the original component .…”

Section: Demosaicked Color Image Postprocessingmentioning

confidence: 99%

Demosaicked Image Postprocessing Using Local Color Ratios

Lukáč

Martin

Plataniotis

2004

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-A postprocessing method for the correction of visual demosaicking artifacts is introduced. The restored, full-color images previously obtained by cost-effective color filter array interpolators are processed to improve their visual quality. Based on a localized color ratio model and the original underlying Bayer pattern structure, the proposed solution impressively removes false colors while maintaining image sharpness. At the same time, it yields excellent improvements in terms of objective image quality measures.Index Terms-Bayer pattern, color artifact removing, color filter array (CFA) interpolation, demosaicked image postprocessing, human visual system, subjective evaluation.

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“…Edge-based techniques [1,5,8,10,15,21,27,34,35,39] focus on the discontinuity of a region in the image. The idea of edge-based segmentation techniques is that edges define boundaries and that regions are contained within these edges.…”

Section: Edge-based Techniquesmentioning

confidence: 99%

Color Image Segmentation for Multimedia Applications

Ikonomakis

Plataniotis

Venetsanopoulos

1999

Advances in Intelligent Systems

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Abstract. Image segmentation is crucial for multimedia applications. Multimedia databases utilize segmentation for the storage and indexing of images and video. Image segmentation is used for object tracking in the new MPEG-7 video compression standard. It is also used in video conferencing for compression and coding purposes. These are only some of the multimedia applications in image segmentation. It is usually the first task of any image analysis process, and thus, subsequent tasks rely heavily on the quality of segmentation. The proposed method of color image segmentation is very effective in segmenting a multimedia-type image into regions. Pixels are first classified as either chromatic or achromatic depending on their HSI color values. Next, a seed determination algorithm finds seed pixels that are in the center of regions. These seed pixels are used in the region growing step to grow regions by comparing these seed pixels to neighboring pixels using the cylindrical distance metric. Merging regions that are similar in color is a final means used for segmenting the image into even smaller regions.

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A new chromatic edge detector used for color image segmentation

Cited by 28 publications

References 9 publications

New Robust Obstacle Detection System Using Color Stereo Vision

New Robust Obstacle Detection System Using Color Stereo Vision

Demosaicked Image Postprocessing Using Local Color Ratios

Color Image Segmentation for Multimedia Applications

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