BibTeX:

@article{IJIRSTV1I10082,
     title={Counting of Micro-organisms for Medical Diagnosis Using Image Processing Method },
     author={Rahul Sharma},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={10},
     pages={236--241},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I10082.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Recognizing and counting the total number of microorganisms in a particular sample is one of the main task that is performed in biological research and diagnosis field. Usually the procedure for counting the total number of microorganisms is done manually which makes this task more tedious, lengthy as well as error prone. To overcome these drawbacks various algorithms have been presented in this paper that aims to automatically count the total number of microorganisms present in a sample using image processing methods. To achieve this goal object recognition method is used which recognize the microorganisms by their shape. Thresholding technique is also applied to the image containing microorganisms for counting. In last thresholding using morphological operations with object recognition method has been applied which overcome all the drawbacks and count total number of microorganisms automatically.

Object Recognition Method, Circular Hough Transform, Thresholding Method, Moore Neighbour Tracing Algorithm, Morphological Operations, Dilation, Erosion, Opening