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		<citationkey>AnguhSilv:1997:MuSeEn</citationkey>
		<title>Multiscale segmentation and enhancement in mammograms</title>
		<year>1997</year>
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		<author>Anguh, M. M.,</author>
		<author>Silva, A. C.,</author>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Netto, Marcio Lobo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)</conferencename>
		<conferencelocation>Campos de Jordão, SP, Brazil</conferencelocation>
		<date>Oct. 1997</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<pages>136-139</pages>
		<booktitle>Proceedings</booktitle>
		<organization>SBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo</organization>
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		<abstract>A multiscale method for segmenting and enhancing lesions of various sizes in mammograms is presented. The method uses two stages. The first stage applies a multiscale automatic threshold estimator based on histogram moments to segment the mammogram at multilevels. The second stage converts the segmented image using pseudo-colour mapping to produce a colour image. <P> An algorithm is presented as well as experimental results. Mammograms are digitalised using a table scanners with a transparency adapter and the algorithm is implemented in Borland C++ 4.02 on a 486 PC. The results are analogous to a breast map which provide an adequate basis for radiological breast tissue differentiation and analysis in digital mammography. Experimental results and judgments from radiological experts are very encouraging.</abstract>
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		<notes>The conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.</notes>
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