By Lawler B.P.
A few of the paintings we do in image conversation this present day calls for the scanning of colour images for copy in black and white.Traditional approach digital camera recommendations for this required capturing on panchromatic movie> processing in overall darkness, and creating a run of publicity adaptations to settle on the only which was once the simplest.
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Additional info for Black and White from color - the best way is not always the easy way
The joint analysis of the diﬀerent case studies has given an adequate picture of TM applications according to the possible types of results that can be obtained, the main speciﬁcations of the sectors of applications and the type of functions. Finally it is possible to classify the applications matching the level of customisation (followed in the tools development) and the level of integration (between users and developers). This matching produces four diﬀerent situations: standardisation, outsourcing, internalisation, synergism.
18. , Raﬀaelli, R. (2004), Text Mining applied to multilingual corpora, (in this volume). 19. , Vindigni, M. T. ), Information Extraction in the Web Era. Lecture Notes in Artiﬁcial Intelligence 2700. Springer Verlag, Berlin-Heidelberg, pp. 92–128. Understanding Text Mining: A Pragmatic Approach 49 20. Poibeau, T. (2003), Extraction Automatique d’Information: du texte brut au web semantique, Hermes – Lavoisier, Paris. 21. , Vesely, M. (2004), “From text to knowledge: document processing and visualization.
Processing of multilingual texts for the retrieval of information independent of the original language of the documents. 1 Automatic Categorisation/Classiﬁcation of Documents The automatic analysis of documents is aimed at getting diﬀerent types of results: (a) the classiﬁcation of documents within a predeﬁned grid of categories; (b) the clusterisation of the texts according to conceptual similarity or vocabulary; (c) the extraction of semantic information on the text; (d) the text summarisation.