Abstract: A method for recognizing geometric shapes in an image using fuzzy logic. The method includes determining an edge in the image and a gradient of the edge. The gradient is corrected by virtue of a first fuzzy logic process, and the number of points that belong to the curve are determined by virtue of a second fuzzy logic process. A fuzzy device for the recognition of geometric shapes in images that implementing the method includes an edge detector, a fuzzy gradient corrector to correct the gradient, and a fuzzy vote attributor to determine the number of points that belong to the curve.

Abstract: A filter achieving noise reduction and digital signal image edge enhancement includes two noise reduction circuits designed to enhance an image edge. The noise reduction circuits comprise both comparison units, which receive separate digital signals of an image and an inferential circuit connected to said comparison elements. Each inferential circuit uses a fuzzy logic unit designed to define activation levels based on signals generated by the comparison elements. The filter also includes a noise detection circuit and an image edge detection circuit both connected to the noise reduction circuit and designed to perform operations in accordance with fuzzy logic rules on the basis of the activation levels defined in the inferential circuits. The filter also includes a noise reduction circuit connected to the noise detection circuit and is designed to filter the digital image signals on the basis of the operations performed by the noise detection circuit.

Abstract: A fuzzy device for image noise reduction, includes an interface adapted to retrieve the gray level of a pixel to be processed of an image and of neighbouring pixels; a difference circuit connected to the interface and adapted to generate a difference of the gray levels between said neighbouring pixels and said pixels to be processed; a fuzzy flat area smoothing circuit connected to the difference circuit and adapted to perform a low-pass smoothing of an almost homogeneous region defined by said pixel and by said neighbouring pixels; an edge preserving smoothing circuit connected to the difference circuit and adapted to perform low-pass filtering on a high-frequency information region defined by the pixel and by the neighbouring pixels; a region voter circuit connected to the interface and adapted to give a measure for considering whether the region defined by the pixel and the neighbouring pixels is almost homogeneous; and a soft switching circuit connected to the outputs of the smoothing circuit and adapted

Abstract: A device for filtering video images, of the type which includes first and second circuit portions, each having first and second input terminals respectively adapted to receive digitalized luminance and chrominance components of a television signal, and an output terminal coinciding with an output terminal of the device. The first and second circuit portions further include first, second and third filters, cascade coupled to one another, and a fourth filter, respectively.The first, second and third filters incorporate a computational circuit which uses a logic of the fuzzy type to process the digitalized luminance component. The fourth filter includes a computational circuit which processes the digitalized chrominance components based upon a parameter supplied from the second filter.

Abstract: A filter architecture for high-resolution video applications of the type comprising at least one filter block having a plurality of digital inputs which receive through an interface components of a television signal and some outputs through which to take the result of a filtering operation for noise associated with the television signal also comprises in the filter block at least one interpolator block connected to said inputs and operating with fuzzy logic to execute a television signal scanning conversion to be presented on additional outputs of the filter block.

Abstract: A filter acting on digital image signals for apparatus of the video type includes at least first and second processing units adapted to elect an image edge, each processing unit includes an inferential circuit operating on fuzzy logic, which has first and second input terminals and an output terminal, and first and second comparison elements each having first and second input terminals and an output terminal, the input terminals being intended for receiving discrete digital signals of an image. The output terminals of the first and second comparison elements in the first processing unit are respectively connected to the first and second input terminals of the inferential circuit included in the first processing unit, and the output terminals of the first and second comparison elements in the second processing unit are respectively connected to the first and second input terminals of the inferential circuit included in the second processing unit.

Abstract: A television signal scanning conversion device of the type comprising at least one filtering block having a plurality of digital inputs which receive through an interface components of an interlaced television signal comprises also at lease one calculation block connected to the signal inputs and operating with fuzzy logic. The calculation block is capable of executing a switch between at least two different interpolation procedures, to wit interfield and intrafield.

Abstract: A filter architecture particularly for video applications, includes a filter section for separating high pass and low pass components from a video input signal conveying a video image, a brilliance estimating section for determining a mean brilliance value for each of a plurality of sections into which the video image is divided, first and second image characteristic adjusting sections for modifying the high pass and low pass components in response to the mean brilliance values, and a summing section for combining the modified high pass and low pass components to generate a filtered video signal. The first and second image characteristic adjusting sections operate using Fuzzy Logic which enables the filter architecture to effectively adjust contrast and brightness in the video image over a wide range of image brightness values.