Two-Tier genetic programming: towards raw pixel-based image classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{AlSahaf2012,
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author = "Harith Al-Sahaf and Andy Song and
Kourosh Neshatian and Mengjie Zhang",
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title = "Two-Tier genetic programming: towards raw pixel-based
image classification",
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journal = "Expert Systems with Applications",
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volume = "39",
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number = "16",
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pages = "12291--12301",
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year = "2012",
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ISSN = "0957-4174",
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DOI = "doi:10.1016/j.eswa.2012.02.123",
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URL = "http://www.sciencedirect.com/science/article/pii/S0957417412003867",
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keywords = "genetic algorithms, genetic programming, Evolutionary
computation, Feature extraction, Feature selection,
Image classification",
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abstract = "Classifying images is of great importance in machine
vision and image analysis applications such as object
recognition and face detection. Conventional methods
build classifiers based on certain types of image
features instead of raw pixels because the
dimensionality of raw inputs is often too large.
Determining an optimal set of features for a particular
task is usually the focus of conventional image
classification methods. In this study we propose a
Genetic Programming (GP) method by which raw images can
be directly fed as the classification inputs. It is
named as Two-Tier GP as every classifier evolved by it
has two tiers, the other for computing features based
on raw pixel input, one for making decisions. Relevant
features are expected to be self-constructed by GP
along the evolutionary process. This method is compared
with feature based image classification by GP and
another GP method which also aims to automatically
extract image features. Four different classification
tasks are used in the comparison, and the results show
that the highest accuracies are achieved by Two-Tier
GP. Further analysis on the evolved solutions reveals
that there are genuine features formulated by the
evolved solutions which can classify target images
accurately.",
- }
Genetic Programming entries for
Harith Al-Sahaf
Andy Song
Kourosh Neshatian
Mengjie Zhang
Citations