Publication

Region-based image classification for automatic color correction

Sabine Süsstrunk
2003
Conference Papers

Abstract

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but image classification usually relies on global image features only. Our region-based approach shows a significant improvement over previously achieved classification for a variety of critical image classes. Improved image classification can directly be translated into improved automatic color correction.

Official source

https://infoscience.epfl.ch/entities/publication/3226fd6d-92ce-4317-a106-928eb7caeb65

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Sabine Süsstrunk
2003
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/3226fd6d-92ce-4317-a106-928eb7caeb65

About this result

Related concepts (21)

Computer vision

Computer vision tasks include methods for , , and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions. Understanding in this context means the transformation of visual images (the input to the retina in the human analog) into descriptions of the world that make sense to thought processes and can elicit appropriate action.

Medical image computing

Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. The main goal of MIC is to extract clinically relevant information or knowledge from medical images.

Image registration

Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, military automatic target recognition, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

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Region-based image classification for automatic color correction

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