Cross-domain reuse of extracted knowledge in genetic programming for image classification

M Iqbal, B Xue, H Al-Sahaf… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Genetic programming (GP) is a well-known evolutionary computation technique, which has
been successfully used to solve various problems, such as optimization, image analysis …

Genetic programming with transfer learning for texture image classification

M Iqbal, H Al-Sahaf, B Xue, M Zhang - Soft Computing, 2019 - Springer
Genetic programming (GP) represents a well-known and widely used evolutionary
computation technique that has shown promising results in optimisation, classification, and …

Artificial bee colony programming descriptor for multi-class texture classification

S Arslan, C Ozturk - Applied Sciences, 2019 - mdpi.com
Featured Application Texture classification aims to identify textures using few samples. Local
Binary Pattern (LBP) and GP-descriptor are most used texture classification algorithms …

A region adaptive image classification approach using genetic programming

Q Fan, B Xue, M Zhang - 2020 IEEE Congress on evolutionary …, 2020 - ieeexplore.ieee.org
Feature extraction, as one essential step of image classification, can potentially reduce
image data dimensionality and capture effective information for improving performance …

Automated design of feature extraction for unsupervised image clustering using grammatical evolution

M Gerber, N Pillay - 2022 IEEE Symposium Series on …, 2022 - ieeexplore.ieee.org
When doing image processing it has been shown that the use of an appropriate feature
extraction function can result in a significant boost in performance. Selecting or creating the …

Improving Genetic Programming for Image Classification

Q Fan - 2024 - openaccess.wgtn.ac.nz
Image classification is a fundamental task in computer vision. Due to the high dimensionality
of the image data and high variations across images such as rotation, scale, illumination …