Computerized morphological classification of ceramics

Karasik, Avshalom; Smilansky, Uzy

doi:10.1016/j.jas.2011.05.023

Cited by 77 publications

(57 citation statements)

References 10 publications

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“…Table 1. Classification rates obtained by our method and the one proposed by Karasik et al [11] and previously propounded by Saragusti et al [10], with 1, 3 and 5 neighbours. Figure 7 show the normalized confusion matrix with one neighbour.…”

Section: Methodssupporting

confidence: 55%

“…Results with one, three and five neighbours are shown in Table 1. We have compared our results with the ones obtained by the method proposed in [11], obtaining clearly better recognition rates. We can also see that increasing the number of neighbours does not improve classification rates.…”

Section: Methodsmentioning

confidence: 84%

“…Other works rely on local features, such as context descriptors [8], to characterize profile shapes [9], along with a multivariate analysis to compare and group profiles into clusters of similar vessels. Other authors [10,11] propose a profile representation based on a continuous, sub-pixel approximation of the profile shape, and calculate its radius, tangent and curvature along the contour. Similarity is then computed using a weighted Euclidean Distance.…”

Section: Introduction and Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Applying Mathematical Morphology for the Classification of Iberian Ceramics from the Upper Valley of Guadalquivir River

Lucena

Martínez-Carrillo

Fuertes

et al. 2014

Lecture Notes in Computer Science

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Abstract. Although the potential of morphometrics for the study of archaeological artefacts is recognized, quantitative evaluation of the concordance between such methods and traditional typology and the potential of these techniques as supported methodologies in the archaeological analysis is a pending task. We present a new method to characterize and classify wheel-made pottery by its profile, using Mathematical Morphology. Each piece is represented as a vector, obtained by sampling the so called morphological curves (erosion, dilation, opening and closing), and Euclidean Distance is used as a similarity measure. The proposed technique has been studied using a sample of 1133 complete ceramic vessels from the Iberian archaeological sites from the upper valley of Guadalquivir River (Andalusia, Spain), showing that it is compatible with the existing corpus, established by experts.

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Section: Methodssupporting

confidence: 55%

Section: Methodsmentioning

confidence: 84%

Section: Introduction and Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Applying Mathematical Morphology for the Classification of Iberian Ceramics from the Upper Valley of Guadalquivir River

Lucena

Martínez-Carrillo

Fuertes

et al. 2014

Lecture Notes in Computer Science

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“…In Kampel and Sablatnig (2000), the sherd colour is used, while Smith et al (2010) employ both colour and texture characteristics. Additionally, texture-based features are used and a profile morphological analysis is performed by Li-Ying Qi and Wang Ke-Gang (2010) and Karasik and Smilansky (2011), respectively. A common characteristic of the above methods is that they are designed to take into account the particular characteristics that are present in the sherd databases that are used for experimentation.…”

Section: Visual Features Extraction Approachmentioning

confidence: 99%

Across Space and Time

Fleury¹,

Madeleine²,

Lefèvre

2015

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“…Other such studies are presented in Aliaga et al (2008); Hanke et al (2008); Levoy et al (2000); Li et al (2011);Martínez Carrillo et al (2008); Pires et al (2006); Simon et al (2002); Toler-Franklin et al (2010). Recently, computerized means have also been developed for the computerized comparison/classification of plain ceramics with axial symmetry (e.g., Adler et al, 2001;Hörr et al, 2007;Kampel and Sablatnig, 2007;Karasik and Smilansky, 2011); for the latter see Section 2.3 below.…”

Section: Introductionmentioning

confidence: 99%

Computer-based, automatic recording and illustration of complex archaeological artifacts

Gilboa

Tal

Shimshoni

et al. 2013

Journal of Archaeological Science

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We report on the development of a computerized automatic system to illustrate complex archaeological objects. The illustrations are based on 3D scans of the artifacts. The 3D models can be automatically translated, by new algorithms specifically designed for this purpose, into 3D or 2D line drawings; into colored images that emphasize the salient shape attributes of the artifacts and of the 3D designs on them; and to images that enhance faint/eroded designs that are otherwise difficult to discern. These illustrations are intended to replace traditional, manual drawings, which are very expensive to produce and not accurate enough. Our illustrations also provide a better visualization tool than the 3D models themselves. Though 3D scanning already improves the visibility of objects and their features, it does not suffice for rapid visual recognition. Our system generates efficient, objective, accurate and simplified representations of complex objects and the designs on them from any number of required views.

show abstract

Computerized morphological classification of ceramics

Cited by 77 publications

References 10 publications

Applying Mathematical Morphology for the Classification of Iberian Ceramics from the Upper Valley of Guadalquivir River

Applying Mathematical Morphology for the Classification of Iberian Ceramics from the Upper Valley of Guadalquivir River

Across Space and Time

Computer-based, automatic recording and illustration of complex archaeological artifacts

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