Abstract: A picture processing apparatus is composed of an infrared ray sensor for producing an infrared picture in which a heat distribution of a measured area is recorded, a picture processing section for processing the infrared picture to extract pieces of personal characteristic data and environmental characteristic data from the infrared picture, and a picture information detecting section composed of a neural network for detecting pieces of personal information and environmental information according to the characteristic data. To be concrete, one or more human-areas respectively recording one or more persons are picked out from the infrared picture, and representative points of the human-areas, the number of human-areas, the number of pixels in each of the human-areas and shapes of the human-areas are extracted as the personal characteristic data.

Abstract: A pattern classification system includes a plurality of classification sections. Each of the classification sections includes a device for storing information of N coefficients W representing a reference pattern, a device for calculating an evaluation value V on the basis of N input signals S and the N coefficients W, the N input signals representing an input pattern, the evaluation value V representing a relation between the input pattern and the reference pattern, a device for storing information of a fixed threshold value R, and a device for comparing the evaluation value V and the threshold value R and for outputting an estimation signal depending on a result of the comparing, the estimation signal including a category signal P which represents a category. A selection section is operative for selecting one of categories in response to the category signals outputted from the classification sections and for outputting a signal Px representing the selected one of the categories.

Abstract: A cooking appliance controls a cooking device on the basis of temperature information of an object to be cooked that is estimated from changes in physical characteristics. A neural network is taught, for a number of categories of food that are classified according to the temperature of the cooked and completed food, the relationship between changes in the physical characteristic, such as the temperature and humidity, generated during heating of the object to be cooked during cooking, and changes of temperature of the object at the center of the object and the surface of the object in order to provide for an automatic cooking operation.

Abstract: A pattern classification system includes a plurality of classification sections. Each of the classification sections includes a device for storing information of N coefficients W representing a reference pattern, a device for calculating an evaluation value V on the basis of N input signals S and the N coefficients W, the N input signals representing an input pattern, the evaluation value V representing a relation between the input pattern and the reference pattern, a device for storing information of a fixed threshold value R, and a device for comparing the evaluation value V and the threshold value R and for outputting an estimation signal depending on a result of the comparing, the estimation signal including a category signal P which represents a category. A selection section is operative for selecting one of categories in response to the category signals outputted from the classification sections and for outputting a signal Px representing the selected one of the categories.

Abstract: An automatic adjusting apparatus for adjusting equipment which comprises an adjustment state detecting section and a processing section. The detecting section detects an adjustment state of the equipment so as to output one or a plurality of adjustment state indexes on the basis of the detected adjustment state and the processing section performs the process on the basis of the adjustment state index to adjust the equipment. The processing section is equipped with an adjustment state evaluation section for calculating and outputting, on the basis of the adjustment state index, an adjustment evaluation value and an adjustment amount calculation section for calculating, on the basis of the adjustment state index, adjustment amounts for one or a plurality of portions of the equipment. Also included in the processing section is an adjustment control section for selecting, on the basis of the adjustment evaluation value, an adjustment amount from the outputs of the calculation section.

Abstract: A coloring device includes an image sampling device for sampling an input signal block representing a group of n.times.

Abstract: A color correction apparatus for use in an apparatus such as a color copier for operating on data obtained by scanning and color analysis of a source image to obtain color density data for use in printing a copy of the source image, the correction apparatus containing a neural network. Parameter values of the neural network are established by repetitive computations based on amounts of difference between color density data previously used to print a plurality of color samples and color density data produced by the neural network in response to color analysis data obtained by analyzing these color samples.

Abstract: An apparatus for printing signal correction and printer operation control, for use in applications such as color copiers, utilizes a neural network to convert input image signals, derived for example by scanning and analyzing an original image, into printing density signals which are supplied to a printer. In addition, a detection signal expressing at least one internal environmental condition of the printer, such as temperature, is inputted to the neural network, so that the output printing density signals are automatically compensated for changes in internal environment of the printer.

Abstract: A data compression and recovery apparatus compresses picture element data of a color image by expressing two primary color values of each picture element as a set of parameter values of a neural network in conjunction with reference color data values of a corresponding block of picture elements. Date recovery is achieved by inputting each block of reference color values to a neural network while establishing the corresponding set of parameter values in the network, to thereby obtain the original pair of encoded primary color values for each of successive picture elements. The third primary color can be used as the reference color.

Abstract: A color correction method applicable to a digital processing type of color copier, whereby a set of color patches of respectively different sample colors is printed using a set of printing data values, the color patches are then scanned and analyzed to obtain color patch input data values by the color copier, and each of all of the possible input color data values that can be produced by the scanner/analyzer section of the color copier is then related to one of the color patch input data values which is closest thereto in a 3-dimensional color space. Each of these possible input color data values is thereby related to an appropriate color printing value, whereby a color correction table can be generated which provides correction accuracy that is independent of non-linearity of color printing characteristics.

Abstract: A halftone signal having one of two discrete levels is generated for each print position along each print line by comparison between a gray scale value of an original with a threshold value stored in a memory. The memory has an .alpha.M.times..beta.N matrix array of cells each storing a particular threshold value, where M, N, .alpha. and .beta. are integers. The memory is divided into .alpha..times..beta. identical imaginary matrices of M.times.N elemental areas each containing a cell in a particular one of .alpha..times..beta. positions. The threshold values stored in each imaginary matrix have a prescribed ordered-dither distribution and those stored in positionally corresponding elemental areas have a dot-dispersive or a dot-concentrative distribution. The memory is addressed in a given direction in response to each print position and in a direction normal to the given direction in response to each print line to read a stored threshold value for each print position for comparison with the gray scale value.

Abstract: A color image duplicating device comprises a function generator (60) for generating a plurality of functions of n degree wherein elements of color separated data (201, 202, 203) from a color original (1) are variable, a storing device (66) for storing predetermined coefficients, and an arithmetic unit (61, 62, 63) for performing the calculation to find the product and sum of outputs from the function generator (60) and that of the storing device (66). An output from the arithmetic unit (61, 62, 63) is applied to a color recorder (3) to form a color duplicated image.

Abstract: To overcome the tendency of the recording head of a dot printer to become inoperative in a range below a threshold level, a gray scale input signal is modulated with an oscillating signal so that the modulated signal oscillates above and below the threshold level to reproduce halftone values below the otherwise inoperative range.