Title : 
Method for Counting Microorganisms and Colonies in Microscopic Images
         
        
            Author : 
Barbedo, Jayme Garcia Arnal
         
        
            Author_Institution : 
Embrapa Inf. Agropecuaria, Campinas, Brazil
         
        
        
        
        
        
            Abstract : 
This paper presents a method to count microorganisms and colonies in microscopic images. The method uses a series of morphological operations to create a representation in which the objects of interest are easily isolated and counted. The proposal is successful in most cases, properly dealing with some difficult situations like when the sizes of the objects vary strongly and when there is low contrast between the objects and the background. Studies are underway in order to improve the performance of the method when dealing with strongly merged objects.
         
        
            Keywords : 
biology computing; image processing; microorganisms; object detection; optical microscopy; colonies counting; microorganisms counting; microscopic images; morphological operations; Digital images; Image analysis; Lighting; Microorganisms; Microscopy; Morphological operations; Support vector machines; Colonies; Microorganisms; Microscopic Digital Images; Object Counting;
         
        
        
        
            Conference_Titel : 
Computational Science and Its Applications (ICCSA), 2012 12th International Conference on
         
        
            Conference_Location : 
Salvador
         
        
            Print_ISBN : 
978-1-4673-1691-0
         
        
        
            DOI : 
10.1109/ICCSA.2012.23