Abstract: A ones counter that accepts a binary input word of ones and zeros and provides a binary output word indicative of the number of ones within the input word. A two-dimensional array is built with a plurality of like cells connected in a regular manner with the first row of the array determining the least significant bit of the output word and each subsequent row determining the output word's next most significant bit. The first row of the array contains approximately one-half the number of cells as bits in the input word with each subsequent row of the array containing approximately one-half the number of cells of the preceding row with the final row containing a single cell that determines the most significant bit of the binary output word. The ones-count output word is computed asynchronously without clocking circuits or data storage elements.

Abstract: A ones counter that accepts a binary input word of ones and zeros and provides a binary output word indicative of the number of ones within the input word. A two-dimensional array is built with a plurality of like cells connected in a regular manner with the first row of the array determining the least significant bit of the output word and each subsequent row determining the output word's next most significant bit. The first row of the array contains approximately one-half the number of cells as bits in the input word with each subsequent row of the array containing approximately one-half the number of cells of the preceding row with the final row containing a single cell that determines the most significant bit of the binary output word. The ones-count output word is computed asynchronously without clocking circuits or data storage elements.

Abstract: A system and method for analyzing a medical image to determine whether an abnormality is present, for example, in digital mammograms, includes the application of a wavelet expansion to a raw image to obtain subspace images of varying resolution. At least one subspace image is selected that has a resolution commensurate with a desired predetermined detection resolution range. A functional form of a probability distribution function is determined for each selected subspace image, and an optimal statistical normal image region test is determined for each selected subspace image. A threshold level for the probability distribution function is established from the optimal statistical normal image region test for each selected subspace image. A region size comprising at least one sector is defined, and an output image is created that includes a combination of all regions for each selected subspace image.