Abstract: A method and apparatus for recognizing broadcast information, the method including the steps of receiving a set of broadcast information; converting the set of broadcast information into a frequency representation of the set of broadcast information; dividing the frequency representation into a predetermined number of frequency segments, each frequency segment representing one of the frequency bands associated with the semitones of the music scale; forming an array, wherein the number of elements in the array correspond to the predetermined number of frequency segments, and wherein each frequency segment with a value greater than a threshold value is represented by binary 1 and all other frequency segments are represented by binary 0; comparing the array to a set of reference arrays, each reference array representing a previously identified unit of information; determining, based on the comparison, whether the set of broadcast information is the same as any of the previously identified units of broadcast info

Abstract: A frequency division, energy comparison, source detection signal processing system which decomposes a wide-band signal into a plurality of narrow frequency band components, generates the energy envelope of each of those narrow band components, determines the envelope correlation coefficients, and detects the presence of a source contributing to the wide-band signal from the correlation coefficients.

Abstract: Corresponding points in at least two different images of a scene are matched by the use of a shortest path analysis. An edge point in a continuous edge segment is selected in one image and potentially matching edge points in other images are arranged as a layered network. Weightings are applied to the potential matches and the best match is identified on the basis of a shortest path analysis of the network. In one preferred arrangement epipolar lines are used. For each edge point to be matched the position of the corresponding epipolar line is calculated using matrices defining parameters associated with the capturing of the image. The epipolar line is used to identify in the other image points as potential matches to the selected point in the one image. Further constraints are applied to the identified points to find the one point in the other image that most likely matches the selected point.

Abstract: A video camera system with autonomous target tracking sets a measuring frame on an object with high accuracy using a hue signal and a brightness signal without being affected by intensity and direction of the light source. A display screen is divided into divided areas and for each divided area, a lightness divided area in which the values of the brightness signal are within prescribed ranges of luminance and a skin color divided area in which the values of the hue signal are within prescribed ranges corresponding to skin color are extracted. Based on the extraction result, the position of the object on the screen determined and the measuring frame is set without being affected by intensity and direction of the light source. Thereafter, the object is continuously centered within the measuring frame.

Abstract: A circuit for detecting a specified color in a color image signal operates on first, second and third primary color signals from a color camera. A complementary color, resulting from additive mixing of two primary colors, is detected by taking the sum and differences of the signal representing the two primary colors. The third primary signal is subtracted from the sum signal to produce a vector sum signal and the difference signal is rectified. The signal which indicates the presence of a complementary color is generated by subtracting the rectified signal from the vector sum signal and comparing it to a fixed reference level. A primary color is detected by subtracting the sum signal from the third primary signal to produce the vector sum signal. Fine adjustment of the target color is obtained by amplifying the two primary color signals differentially to maintain a constant sum of the two primary color signals.

Abstract: There is disclosed an apparatus for image reading or processing, that can precisely identify a particular pattern, such as of banknotes or securities faithful copying of which is to be prohibited. The apparatus is provided with a detecting unit for detecting positional information of an original image, and a discriminating unit for extracting the pattern data of a certain part of the original image and discriminating whether the original image is the predetermined image, based on the similarity between the pattern data and the predetermined pattern.

Abstract: A image processing apparatus for coloring an original image includes a unit for inputting an original image to be painted and a color image, a unit for dividing the original image input by the inputting unit into a plurality of areas corresponding to the original image and for generating area information data corresponding to the plurality of areas, a unit for selecting the same number of colors as the number of the plurality of areas based on data of the color image input by the inputting unit, and a unit for allocating the colors selected by the selecting unit to the plurality of divided areas based on the area information data.

Abstract: An image processing apparatus includes a first judgment circuit for judging whether an input image is a monochrome image or a color image on the basis of an input image signal, and a second judgment circuit for judging whether a pixel represented by the input image signal is part of a character which is black. In an image processing method, a judgment is made as to whether an input image is a monochrome image or a color image on the basis of an input image signal, and a judgment is made as to whether a pixel represented by the input image signal is part of a character which is black.

Abstract: Colors for a two-dimensional ordered image such as a fractal map are selected by first sampling colors from a real or natural source of colors, such as a tree or a feather and storing values representing the colors in Munsell color space (the three-dimensional space defined by hue, saturation and value) in a source color file, then ordering colors by distance in Munsell color space from a seed reference color (e.g. black), thereafter storing a representation of the color whose distance is closest to the seed reference color as the first color in a storage file known as an ordered color file, using the first color as a new reference color, then sorting the remaining colors according to distance from the new reference color, and storing a representation of the color closest to the new reference color as the second color in the ordered color file. The process is recursively performed until all colors in the source color file have been ordered in the ordered color file.