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The computer tool named CAMIA (Computer-Aided Medical Image Analyzer) for quantitative and qualitative analysis of different medical images is described The system CAMIA can handle different standard image formats as: BMP, GIF, RAW, JPEG, Biorad PIC, and DICOM. After preprocessing steps the main procedure applied in the system CAMTA is the segmentation which is based on the watershed algorithm; the simplified mathematical model of the human visual system. In this way a very good subjective quality of the primary segmented image is obtained By using the interactive semiautomatic method of the region growing and the selection of the medical doctor is capable to select easily and extract objects of interest for further diagnosis. This procedure permits high reproducibility of results and robustness in the object area determination as prerequisites for precise and objective quantification of detected objects. The embedded modules for statistical and quantitative analysis of objects enable the applications of the system CAMIA in the diagnostic practice as cytology, patho-hystology, radiology (MR, CT, etc). The system is derived and tested in cooperation with doctors-specialists in the Military Medical Academy in Belgrade.