| Title | Dissimilarity-based classification of chromatographic profiles |
| Publication Type | Journal Article |
| 2008 |
| Authors | Sousa, AV, Mendonça, AM, Campilho, A |
| Journal | Pattern Analysis and ApplicationsPattern Anal. Appl. |
| Volume | 11 |
| Issue | 3-4 |
| Pagination | 409 - 423 |
| Date Published | 2008/// |
| 14337541 (ISSN) |
| Chromatographic images, Dissimilarity representation, Nearest neighbour classifiers, Prototype selection |
| This paper proposes a non-parametric method for the classification of thin-layer chromatographic (TLC) images from patterns represented in a dissimilarity space. Each pattern corresponds to a mixture of Gaussian approximation of the intensity profile. The methodology comprises various phases, including image processing and analysis steps to extract the chromatographic profiles and a classification phase to discriminate among two groups, one corresponding to normal cases and the other to three pathological classes. We present an extensive study of several dissimilarity-based approaches analysing the influence of the dissimilarity measure and the prototype selection method on the classification performance. The main conclusions of this paper are that, Match and Profile-difference dissimilarity measures present better results, and a new prototype selection methodology achieves a performance similar or even better than conventional methods. Furthermore, we also concluded that simplest classifiers, such as k-NN and linear discriminant classifiers (LDCs), present good performance being the overall classification error less than 10% for the four-class problem. © 2008 Springer-Verlag London Limited. |
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