Abstract: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

Abstract: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

Abstract: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map may be segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map may be compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

Abstract: A method for recognizing an object in an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The fractal map is segmented by thresholding and locations of candidate objects are determined. The pixel value of the image pixel corresponding to the same location where the candidate object is found in the fractal map is compared to a threshold value. If the pixel value is greater than the threshold value, the candidate object is recognized as a valid object.

Abstract: A method for segmenting an image is disclosed wherein a fractal map of the image is generated by estimating the fractal dimension of each pixel in the image. The image is segmented by thresholding the fractal map of the image.

Abstract: A method and system for auto-focusing is disclosed where the number of the fractal pixels having a fractal dimension within a predetermined range is determined. The focused image is determined by adjusting the image to maximize the fractal pixel count. Alternatively, the focused image may be selected from a set of images, the image having the largest fractal pixel count selected as the focused image.

Abstract: A non-lacerational method and system employing an abrasive brush for obtaining a transepithelial sample of an epithelial lesion which may be keratinized is disclosed in which an analytical system including an imaging system is provided to detect precancerous and cancerous cells. The transepithelial non-lacerational brush produces sufficient cells from all three layers of the epithelium so that an analytical system comprising a programmed computer can detect which cells require further examination because of a likely suspicion of said pre-cancerous and cancerous conditions. The method and system can apply to the diagnosis non-cancerous conditions as well.

Abstract: A sample of an epithelial lesion which may be keratinized is disclosed in which an analytical system including an imaging system is provided to detect precancerous and cancerous cells. A transepithelial non-lacerational brush produces sufficient cells from all three layers of the epithelium so that an analytical system comprising a programmed computer can detect which cells exhibit abnormal keratinization and require further examination because of a likely suspicion of said pre-cancerous and cancerous conditions. The method and system can apply to the diagnosis non-cancerous conditions as well.