Advances in genetic programming
Automatic Feature Generation for Handwritten Digit Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Parallel distributed genetic programming
New ideas in optimization
Proceedings of the European Conference on Genetic Programming
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Digital Image Filter Design Using Evolvable Hardware
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
A multi-population genetic algorithm for robust and fast ellipse detection
Pattern Analysis & Applications
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Evaluation of a New Platform For Image Filter Evolution
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
Genetic programming on GPUs for image processing
International Journal of High Performance Systems Architecture
Evolving pattern recognition systems
IEEE Transactions on Evolutionary Computation
Feature generation using genetic programming with application to fault classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An Empirical Exploration of a Definition of Creative Novelty for Generative Art
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
The relative potential field as a novel physics-inspired method for image analysis
WSEAS Transactions on Computers
The unconstrained automated generation of cell image features for medical diagnosis
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Two-Tier genetic programming: towards raw pixel-based image classification
Expert Systems with Applications: An International Journal
Networks of transform-based evolvable features for object recognition
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of greyscale images. The motivation is to allow an evolutionary algorithm means of transforming a set of image patterns into a more classifiable form. To this end, we introduce the notion of a Transform-based Evolvable Feature (TEF), a moment value extracted from a GP-transformed image, used in a classification task. Unlike many previous approaches, the TEF allows the whole image space to be searched and augmented. TEFs are instantiated through Cartesian Genetic Programming, and applied to a medical image classification task, that of detecting muscular dystrophy-indicating inclusions in cell images. It is shown that the inclusion of a single TEF allows for significantly superior classification relative to predefined features alone.