We present a multidimensional histogram method to inspect tonality on colour textured surfaces, e.g. ceramic tiles. Comparison in the noise dominated chromatic channels is error prone. We perform vector-ordered colour smoothing and generate a PCA-based reconstruction of a query tile based on a reference tile eigenspace. Histograms of local feature vectors are then compared for tonality defect detection. The proposed method is compared and evaluated on a data set with groundtruth. © Springer-Verlag 2004.
CITATION STYLE
Xie, X., Mirmehdi, M., & Thomas, B. (2004). Inspecting colour tonality on textured surfaces. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 810–817. https://doi.org/10.1007/978-3-540-30126-4_98
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