A Review on Methods for Automatic Counting of Objects in Digital Images

被引:26
作者
Barbedo, J. G. A. [1 ]
机构
[1] Empresa Brasileira Pesquisa Agr Embrapa, Sao Paulo, Brazil
关键词
automatic object counting; digital images; ETCHED TRACKS; CELLS; SEGMENTATION; QUANTIFICATION; RECOGNITION; CLASSIFICATION; TRANSFORM; COLONIES; SYMMETRY; BACTERIA;
D O I
10.1109/TLA.2012.6362356
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A growing number of routine and research activities, in a wide variety of fields, have the counting of certain types of objects (cells, people, insects, etc.) as one of their main components. In most cases, such counting procedure is performed manually, in a process that is often lengthy and tedious. For that reason, several methods for automatically counting the objects of interest have been proposed in the last two decades. The vast majority of those methods rely on digital images containing the objects to provide an estimate as close as possible to the results manually obtained by human experts. The review is organized in a tutorial-like form, that is, instead of grouping the references according to a given criterion and then describing them, the paper describes some of the main tools and techniques used in this field of research, and then cites the references as sources for additional information and inspiration.
引用
收藏
页码:2112 / 2124
页数:13
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