Patent ID: 8611620

Claim:
A method for detecting and identifying pathologies in a magnified captured image, said method comprising the step of: capturing biopsy of an organ of a human body; performing macro image analysis for identifying abnormal and normal segments of the captured image, said analysis based on image texture features extraction and analysis; performing conversion of colored images to gray scale image, by applying transformation for each pixel in the image according to pre-defined formula having calculated weights, said transformation is arranged to adjust the colors to normalizing the technical effects of lighting conditions, capturing technique or capturing device type; performing segmentation of the gray scale colored biopsy by applying two segmentation levels, a first coarse level preformed by applying different low pass filters on down sized gray scale image for detecting smooth background image and small objects, a fine segmentation level by applying filters on the original size gray scale image for detecting smooth background image and small objects; merging the image results of the coarse level and the fine level segmentations by expanding the coarse image to fit scale of the fine image and identifying pixels having the same value at both levels; performing measurements of the detected small objects identifying objects properties and characteristics; performing comparison between object's properties and characteristics appearing in abnormal segments and object's properties and characteristics appearing in normal segments, and calculating the deviations of each property between the abnormal segments and the normal segments; ranking objects based on the calculated deviations of each property and characteristic, wherein each property and characteristic has different weight factor determined on the basis of biopsy/organ type.