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Automated image analysis of microscopic images such as protein crystallization images and cellular images is one of the important research areas. If objects in a scene appear at different depths with respect to the camera's focal point, objects outside the depth of field usually appear blurred. Therefore, scientists capture a collection of images(More)
—In this letter, a novel supervised classification approach is presented for the classification of hyperspectral images using kernel Fukunaga–Koontz transform (KFKT). The Fukunaga–Koontz transform (FKT) is originally a powerful target detection method used in remote sensing tasks, and it is an especially good classification tool for two-class problems. The(More)
Pattern classification is a vital area of computer vision. Classification of hyperspectral images is difficult and complex due to their high-dimensional characteristics. Covariance descriptor is often used in the area of pattern recognition on 2-dimensional images. In this study, we propose a different approach to classical covariance descriptor in(More)
Fukunaga-Koontz Transform (FKT) is a statistical technique which has many application areas for two-class classification or detection problems. In this paper, we have proposed improved target detection algorithm for hyperspectral imagery (HSI) based on enhanced FKT which gives better results for multi-class target detection problems. Hyperspectral imagery(More)
Detection of surface defects on industrial products by machine vision technology is one of the main research topics. Surface scratchs, texture deformations and color differences are common problems at the industrial products. In this paper, a new method named learnable transform filters (LTF) are employed to detect surface defects. On learning stage, the(More)
In this paper, a new algorithm related with feature selection method mostly used in data mining, machine learning and pattern recognition areas is proposed. Classical Fukunaga-Koontz Transform is extended to a binary kernel classifier. We used cDNA microarrays to assess 11.000 gene expression profiles in 60 human cancer cell lines used in a drug discovery(More)
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