The method for detecting corresponding regions between a plurality of picture images comprises the steps of setting respective operation object regions for a plurality of picture images, calculating a variance of mutual concentration or density distributions in the operation object regions, and detecting the operation object regions which have been set in which the calculated variance value is at a minimum. The apparatus for detecting corresponding regions between picture images comprises a vari...

Level data on an output line (24) carrying the digitized output of a video camera and analog-to-digital converter (12) is processed by a combination circuit (10) to store in an acquisition memory (16) the results of a feature-identification or histogram operation. In a histogram operation, the memory locations of the acquistion memory (16) represent the bins into which the levels represented by the level data are sorted, and the contents of those locations indicate the number of picture elements...

A method of and an apparatus for analysis of patterns both in static and dynamic modes. A test histogram is described in terms of the optimum code described for a reference histogram.

In an image processing apparatus, first peak density pixels of one dimension each having a peak density in one-dimension direction larger than a predetermined density are detected from image data located in a predetermined image area of a document image, and second peak density pixels of two dimensions each having peak densities in two-dimension directions larger than the predetermined density are detected from the image data. Further, there are counted a number of the detected first peak densit...

A method of generating a computed tomographic image of a region-of-interest of a sample is described in which only the region-of-interest need be scanned, i.e. it is not necessary to scan the entire sample. Reference data for the region-of-interest of a complete reference object that is a relatively good match to the sample outside the region-of-interest and has a known attentuation distribution inside the region-of-interest is first obtained. This can be done by scanning only the region-of-inte...

An input, unknown character is optionally read to form a binary character image, and a plurality of directionality codes are assigned to pixels defining the contour of the character image selectively to define a code-assigned character image, which is then subdivided into a plurality of sub-regions in the form of mesh such that each sub-region includes a substantially equal number of assigned codes. Then, a histogram of the codes is defined for each of the sub-regions to form a collection of his...

In a digital copying machine, a ground in a document image is removed according to the type of document by referring to a histogram of reflectance data on a document image prepared for each line. A ground peak or a gradation level having the largest frequency in the histogram is determined. Further, frequencies are obtained in three windows appropriate for extracting characteristic quantities for ground, background and characters. A window for the ground quantity is determined according to the g...

A histogram is prepared using the heights of characters in an input alphanumeric character image data set. Based on this histogram, reference line characters are detected from the character row. The upper and lower extracting ordinates of each character in the character row are obtained. Then, the average of each of the upper and lower extracting ordinates in the character row is determined as the ordinate of a reference line for the character row. Thus obtained reference line is used for charac...

An object recognition system and process that identifies people and objects depicted in an image of a scene. In general, this system and process entails first creating model histograms of the people and objects that it is desired to identify in the image. Then, the image is segmented to extract regions which likely correspond to the people and objects being identified. A histogram is computed for each of the extracted regions, and the degree of similarity between each extracted region histogram ...

A method for automated analysis of abnormalities in the form of lesions and parenchymal distortions using digital images, including generating image data from respective of digital images derived from at least one selected portion of an object, for example, from mammographical digital images of the left and right breasts. The image data from each of the digital images are then correlated to produce correlated data in which normal anatomical structured background is removed. The correlated data i...