Abstract: A method and system for detecting the corners of a region in an image.

Abstract: In order to render information contained in images more detectable in the presence of noise, the present invention discloses a system and method to binarize the images in the presence of noise. The method of this invention comprises the steps of applying a dynamic range reducing filter to the digitized image values, obtaining a range reduced image; applying an edge detecting filter to the range reduced image, obtaining a filtered image; and then, adaptively binarizing the digitized image utilizing the corresponding filtered image to obtain an adaptive threshold.

Abstract: In order to render information contained in images more detectable in the presence of noise, the present invention discloses a system and method to binarize the images in the presence of noise. The method of this invention comprises the steps of applying a dynamic range reducing filter to the digitized image values, obtaining a range reduced image; applying an edge detecting filter to the range reduced image, obtaining a filtered image; and then, adaptively binarizing the digitized image utilizing the corresponding filtered image to obtain an adaptive threshold.

Abstract: A simple and robust method for determining the orientation angle of a scanned image or the angular orientation of an object in an electronic image based on using descriptors of the image and systems that implement the method are disclosed. A system including means for acquiring the electronic image, means for determining image centroid coordinates, means for obtaining second order moments corresponding to the image, and, means for determining an orientation angle of a principal axis of the image implements the method.

Abstract: The systems and methods of this invention provide a simple classifier suitable for real time use. The classifier adapts to changing system conditions and does not require recalculating the details of the classifier.

Abstract: A system and method to binarize the bar code image in the presence of noise in order to render bar codes more detectable in the presence of noise. The method of this invention includes the steps of applying a gradient detecting filter to the bar code image, obtaining a filtered image, and then, adaptively binarizing the bar code image utilizing the corresponding filtered image to obtain an adaptive threshold. A system that implements the method is also described.

Abstract: A method and system for detecting the corners of a region in cluttered images. The initial data for the method of this invention includes an image of a region of interest. The edges interior to the region of interest are detected by an edge detection method. The detected edges are culled in order to obtain a reduced edge group, where the reduced edge group includes a number of points. A measure of cornerness is obtained for each one point from the reduced edge group. A number of candidate corner points are selected from the reduced edge group by applying a predetermined criterion to the measure of cornerness. The region corner points are identified from the candidate corner points based on a predetermined relationship, such as a distance, between each candidate corner point and characteristic edge points of the region of interest, such as edge centers and corners. The system implements the method of this invention.

Abstract: A method and system of reading images. The method includes decimating an image and normalizing the decimated image. Then, rebinning grayscale pixel data associated with the decimated image and reassigning a selected range of grayscales representing a region of interest of the remapped grayscale pixel data to one while zeroing others. The method also includes labeling the connected pixels associated with the range of grayscales representing the region of interest and then extending the connected pixels through region growing using a preselected offset value. Lastly, the method includes filtering segmented regions of the connected pixels to eliminate certain candidates. The system is designed to implement the steps of the enumerated method.

Abstract: The systems and methods of this invention provide a simple classifier suitable for real time use. The classifier adapts to changing system conditions and does not require recalculating the details of the classifier.

Abstract: A simple and robust method for determining the orientation angle of a scanned image or the angular orientation of an object in an electronic image based on using descriptors of the image and systems that implement the method are disclosed. A system including means for acquiring the electronic image, means for determining image centroid coordinates, means for obtaining second order moments corresponding to the image, and, means for determining an orientation angle of a principal axis of the image implements the method.

Abstract: In order to render information contained in images more detectable in the presence of noise, the present invention discloses a system and method to binarize the images in the presence of noise. The method of this invention comprises the steps of applying a dynamic range reducing filter to the digitized image values, obtaining a range reduced image; applying an edge detecting filter to the range reduced image, obtaining a filtered image; and then, adaptively binarizing the digitized image utilizing the corresponding filtered image to obtain an adaptive threshold.

Abstract: In order to render bar codes more detectable in the presence of noise, the present invention discloses a system and method to binarize the bar code image in the presence of noise. The method of this invention comprises the steps of applying of a gradient detecting filter to the bar code image, obtaining a filtered image, and then, adaptively binarizing the bar code image utilizing the corresponding filtered image to obtain an adaptive threshold.

Abstract: A method and system of reading images. The method includes decimating an image and normalizing the decimated image. Then, rebinning grayscale pixel data associated with the decimated image and reassigning a selected range of grayscales representing a region of interest of the remapped grayscale pixel data to one while zeroing others. The method also includes labeling the connected pixels associated with the range of grayscales representing the region of interest and then extending the connected pixels through region growing using a preselected offset value. Lastly, the method includes filtering segmented regions of the connected pixels to eliminate certain candidates. The system is designed to implement the steps of the enumerated method.