Segmentation of images of yeast cells by scale-space analysis

被引：2

作者：

Carvalho, MAG ^{[1
]}

Lotufo, RA ^{[1
]}

Couprie, M ^{[1
]}

机构：

[1] Univ Estadual Campinas, FEEC, DCA, BR-13083970 Campinas, SP, Brazil

来源：

XVI BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/SIBGRA.2003.1241033

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an hierarchical approach to segment images of yeast cells based on watershed and space-scale analysis. Yeasts belong to an important fungi class and the performance of bioreactors and other chemical processes are greatly influenced by their morphological character The method proposed is capable of segmenting yeast cells based on the analysis of survival time, shape and gray-scale features of the Tree of Critical Lakes. We show experimental results for one group of yeast images obtained from the School of Food Engineering at Unicamp, Brazil. Preliminary comparison shows that the proposed method provides cells with area 10% lower than traditional approach, as well as its contours preserved.

引用

页码：376 / 380

页数：5

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