Kofax has been granted a patent for computer-implemented methods to detect objects in digital images based on color transitions. The technology involves analyzing image data, detecting contours, and defining object edges. The patent also covers systems and computer program products for implementing these methods efficiently. GlobalData’s report on Kofax gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Kofax, was a key innovation area identified from patents. Kofax's grant share as of May 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
Patent granted for computer program detecting objects in digital images
A recently granted patent (Publication Number: US11983944B2) discloses a computer program product designed to detect objects within digital image data based on color transitions. The product includes computer-readable program instructions that enable a processor to analyze digital images using color transition detectors, select the best object location result, and output or render the projected location of object edges. The unique analysis parameters for each color transition detector can be independently selected from various options, such as the number of analysis iterations, downscaling target size, background margin size, and more.
Moreover, the patent details a method for detecting objects within digital image data by sampling color information, assigning labels to pixels as foreground or background, binarizing the image, detecting contours, and defining object edges. The adaptive label learning process involves selecting initial Gaussian models for foreground and background color profiles, updating Gaussian models in iterations, and generating a representative foreground color profile by inverting color values. The computer program product also includes instructions for sampling color information from foreground pixels, updating Gaussian models based on labels, and generating a representative foreground color profile. This innovative technology aims to enhance object detection accuracy and efficiency in digital images through advanced color transition analysis and adaptive learning processes.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
