Teaching data setting apparatus and a method for image processing are provided to enable setting optimum teaching data to achieve reduction in errors and error detection in the image processing. A subject teaching data generating section 1 uses databases of subject attributes and recognition operation conditions for a plurality of pieces of teaching data representing all possible combinations of the subject attributes and the recognition operation conditions. A teaching data candidate selecting ...

This invention is related to a method and an apparatus for reducing the zippers of image. The method uses a recovery model to reduce the zippers of image. The recovered model performs calculations which comprise the steps of setting a type of light sources and a sensing mode, measuring a voltage difference, estimating an amount of interference by a statistic method and establishing an interference model according to the amount of interference, and calculating the recovered model according to the...

Cells i corresponding to pixels are initialized into a non-excitation state, to calculate coupling weights W.sub.ik between the eight cells k adjacent to the cells i, thereby determining leader cells p.sub.i=1 based on calculation results. Next, one leader cell yet to be excited is selected as a self-excitable cell. The selected cell is put into the excitation state, the excitable cells are selected based on the coupling weights between the adjacent cells, and the selected cells are put into the...

A motion detection method is used to abstract multiple moving objects. The motion detection method uses a first frame and a second frame to locate the moving objects appearing in a fixed scene. The method includes calculating a difference of each pixel between the first frame and the second frame, comparing each difference with a first threshold value for generating a plurality of first contours, comparing each difference with a second threshold value for generating a plurality of second contour...

Embodiments of the present invention comprise methods and systems for automatically adjusting images to conform to preference data.

The invention provides a method for identifying or quantifying characteristics of interest of unknown objects, comprising training a single neural network model with training sets of known objects having known values for the characteristics; validating the optimal neural network model; and analyzing unknown objects having unknown values of the characteristics by imaging them to obtain a digital image comprising pixels representing the unknown objects, background and any debris; processing the im...

The present invention relates to a hierarchical artificial neural network (HANN) for automating the recognition and identification of patterns in data matrices. It has particular, although not exclusive, application to the identification of severe storm events (SSEs) from spatial precipitation patterns, derived from conventional volumetric radar imagery. To identify characteristic features a data matrix, the data matrix is processed with a self organizing network to produce a self organizing fea...

A chain saw guard including a substantially planar shield member pivotally supported to the rear end portion of the guide bar of the chain saw for pivotal movement alongside the chain bar between a lower guard position and an upper inoperative position, spring means urging the shield member downward into the guard position, latch means interconnecting the guide bar and the shield to lock the shield member in its guard position, and a downward projecting trigger element operatively connected to t...

A subsurface formation surrounding a borehole is flushed with at least one fluid having a density difference from that of the water content of the formation. Borehole gravity logs are recorded. Porosity is also recorded. From the density, gravity and porosity indications, water and oil saturation of the formation is determined.

A method and system for evolving electronic circuits based on defined rules. A first approach uses a network of nodes having established topological and behavioral relationships amongst themselves. An A/D converter is developed using this approach. A second approach employs software agents to create signal filters. The software agents are allowed to evolve in signal parameter space so as to match a reference signal, subject to established evolutionary rules and parameter space constraints. Narro...