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Image classification and interpolation
SPIE Proceedings, 2012We have developed a novel interpolation method for images containing text, graphics and natural scenes. The method allows us to select the best interpolation algorithm for different regions of an image. In particular, we segment the image into graphical and natural regions and use the appropriate algorithm for each region.
Animesh Khemka, Charles A. Bouman
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Signal Processing, 2006
The automatic classification of images is now widely used in a range of applications. These include the diagnosis of arthritis from joint images, the classification of environmental noise from spectrograms and automatic text analysis. However, satisfactory performance is difficult to achieve in uncontrolled environments, as images are often ...
W. D. Addison, Richard H. Glendinning
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The automatic classification of images is now widely used in a range of applications. These include the diagnosis of arthritis from joint images, the classification of environmental noise from spectrograms and automatic text analysis. However, satisfactory performance is difficult to achieve in uncontrolled environments, as images are often ...
W. D. Addison, Richard H. Glendinning
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Image Classification Techniques
2021The image processing task, aimed at interpreting and classifying the contents of the images, has attracted the attention of researchers since the early days of computers. With the advancement of computing system technology, image categorization has found increasingly broader applications, covering new generation disciplines such as image analysis ...
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On the classification of image features
Pattern Recognition Letters, 1990While the primary purpose of edge detection schemes is to be able to produce an edge map of a given image, the ability to distinguish between different feature types is also of importance. In this paper we examine feature classification based on local energy detection and show that local energy measures are intrinsically capable of making this ...
Svetha Venkatesh, Robyn A. Owens
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International Journal of Imaging Systems and Technology, 2006
AbstractThere are tremendous content‐based retrieval systems. Most of them are applied to general image databases. Some were proposed for specified databases such as texture databases, ancient paintings, document image databases, digital mammography, face image databases, etc. However, there are fewer for plant databases.
Chia-Ling Lee, Shu-Yuan Chen
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AbstractThere are tremendous content‐based retrieval systems. Most of them are applied to general image databases. Some were proposed for specified databases such as texture databases, ancient paintings, document image databases, digital mammography, face image databases, etc. However, there are fewer for plant databases.
Chia-Ling Lee, Shu-Yuan Chen
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Image redundancy and classification
1995C.E. Shannon in his Information Theory defined the rate of information transmission of a transmitter-receiver couple, also called system mutual information. This concept can be applied to a simple model considering an image as a set of isolated pixels in order to define an image redundancy measure.
Espen Volden +2 more
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Computers & Chemical Engineering, 2009
Abstract Process monitoring using imaging can provide valuable information. However, the large number of images obtained necessitate automated classification into those showing “good” and “bad” product. This paper shows how a database of reference images can be used to modify image quality so as to obtain extremely high classification accuracies. The
Shuo Yan, Saed Sayad, Stephen T. Balke
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Abstract Process monitoring using imaging can provide valuable information. However, the large number of images obtained necessitate automated classification into those showing “good” and “bad” product. This paper shows how a database of reference images can be used to modify image quality so as to obtain extremely high classification accuracies. The
Shuo Yan, Saed Sayad, Stephen T. Balke
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Digital Investigation, 2006
Investigations involving massive quantities of graphics files that must be reviewed and classified require more robust tools to facilitate review and categorisation of massive numbers of graphic files. Traditional forensic tools are not equipped for such large-scale categorisation tasks this paper introduces some techniques that can streamline the ...
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Investigations involving massive quantities of graphics files that must be reviewed and classified require more robust tools to facilitate review and categorisation of massive numbers of graphic files. Traditional forensic tools are not equipped for such large-scale categorisation tasks this paper introduces some techniques that can streamline the ...
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Image classification: an evolutionary approach
Pattern Recognition Letters, 2002Summary: Evolutionary algorithms are proving viable in solving complex optimization problems such as those typical of supervised learning approaches to image understanding. This paper presents an evolutionary approach to image classification and discusses some experimental results, suggsting that genetic programming could provide a convenient ...
Davide Agnelli +2 more
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Segmentation and Classification of Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987The recognition of objects in three-dimensional space is a desirable capability of a computer vision system. Range images, which directly measure 3-D surface coordinates of a scene, are well suited for this task. In this paper we report a procedure to detect connected planar, convex, and concave surfaces of 3-D objects.
Richard L. Hoffman, Anil K. Jain 0001
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