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BLOOD CELLS DETECTION FROM MICROSCOPIC IMAGES

In many medical applications, computer vision is required to step behind the image preprocessing level and perform recognition tasks without human interaction. We focused our work on blood tests for leucocyte detection and counting. This test is generally performed manually and required for infection diagnosis. We developed a method for cells classification and counting using images from a laboratory microscope. This is a step forward for the automation of laboratory tests, producing good results without supervision and interaction. A camera calibration is required for the precise determination of the leucocyte formula.