Methods and systems of classifying an image by use of a concentration ratio that indicates the smoothness of the distribution of a population of elements in the image or portions thereof. Alternate embodiments may include determining the concentration ratio based on luminance components, grayscale components or a histogram, use of thresholds for determing the image classifications such as text, graphic or photographic, and use of a training process for creating the thresholds that includes analy...

The invention concerns a method and a device for the automatic perception of an event. Said device comprises a control unit, a data bus, a back-annotation bus and at least a histogram computing unit.

This disclosure relates to an image processing apparatus or an image processing method, and takes as its technical problem the fact that conventionally it is difficult to perform a process of carving out a rectangle with high precision in a noisy environment.Therefore, as to an image made by binarizing an original image, histograms of the numbers of horizontal and vertical black pixels thereof are created and trapezoidal approximation is performed on the histograms so as to detect vertex coordin...

Properties of pixels in a digital image are sampled within different subdivisions of an editing tool impression to produce different property distributions. The different subdivisions can automatically alter their size, geometry, and/or location, based on image content within one or more of the subdivisions, in order to encompass a set of pixels having a substantially uniform distribution of a pixel property. Uniformity can be defined relative to the editing operation or context of the image. Th...

A system and a method to detect a label are described herein. The system and method are to extract a horizontal region of interest based on the image; to extract a vertical region of interest based on the image; and to identify presence of the primary label in the image from the horizontal region of interest and from the vertical region of interest.

A method for constructing a database having image information representing a plurality of images including the steps of: a) calculating L.times.5 number of normalized edge histogram bins to generate L number of edge histograms of a target image, wherein each edge histogram has five normalized edge histogram bins and represents a spatial distribution of five reference edges in a sub-image and L is a positive integer, wherein the reference edges include four directional edges and a non-directional...

A method of classifying images as slide images or non-slide images can be done by capturing a video stream, analyzing an image of the video stream and determining whether the image is a slide image. The analyzing can be based on text height and/or edge region(s) of the image.

To provide a contour extraction apparatus which can perform much more quickly the contour division when required while reducing the cost for computing. In contour extraction unit 32: a plurality of nodes are located on a periphery of the target object by the node locator 32A; the contour, which is formed by connecting nodes at a predetermined connection order, is deformed by the contour deformation unit 32B; an internode distance about all combination of nodes excepting the inter node distance b...

A method and apparatus for determining the best fit of a population mixture model to data. In the digital imaging area, the use of histogram data is employed. A plurality of sub-population functions are defined and then optimized to fit the data. An objective function is employed, which is based upon the parameters of the underlying functions. The number of underlying functions is added to the parameter mix, such that no a priori knowledge of the number of sub-populations is required. In an illu...

A background detection process that analyzes background information for the purpose of limiting the impact of intensity information obtained from non-document areas includes: identifying a first white peak from pixels within a first document region; identifying a second white peak from pixels within a second document region; determining if the first white peak was identified using image data from outside of the input document; and if so, identifying a third white peak from pixels within the firs...