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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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Genetic Image Network for Image Classification
2009Automatic construction methods for image processing proposed till date approximate adequate image transformation from original images to their target images using a combination of several known image processing filters by evolutionary computation techniques. Genetic Image Network (GIN) is a recent automatic construction method for image processing. The
Shinichi Shirakawa +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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Retrieval and classification of food images
Computers in Biology and Medicine, 2016Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision.
FARINELLA, GIOVANNI MARIA +4 more
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Image Database Assisted Classification
1999Image similarity can be defined in a number of different semantic contexts. At the lowest common denominator, images may be classified as similar according to geometric properties, such as color and shape distributions. At the mid-level, a deeper image similarity may be defined according to semantic properties, such as scene content or description.
Santini, S. +5 more
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Knowledge-Based Image Classification
1992In a knowledge based classification, ancillary data and knowledge are combined with spectral information. A method of knowledge based classification based on temporal relationships between classes is introduced. Knowledge about crop rotations is represented by means of state transition matrices.
Middelkoop, H., Janssen, L.L.F.
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Kronecker Decomposition for Image Classification
2016We propose an image decomposition technique that captures the structure of a scene. An image is decomposed into a matrix that represents the adjacency between the elements of the image and their distance. Images decomposed this way are then classified using a maximum margin regression (MMR) approach where the normal vector of the separating hyperplane ...
Sabrina Fontanella +3 more
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Image Coding for Classification
Color and Imaging Conference, 1999Finlayson, Graham, Qiu, G
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Multi-Label Active Learning Algorithms for Image Classification
ACM Computing Surveys, 2021Pengpeng Zhao, Hua Li, Jian Wu
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Review of Image Classification Algorithms Based on Convolutional Neural Networks
Remote Sensing, 2021Qiang Bai, Yang Jing, Shaobo Li
exaly