This inventor holds 1 USPTO granted patent. Top assignee: Honda Research Institute Europe Gmbh. Active years: 2008.
Company Filing History:
Years Active: 2008
Title: Ursula Körner: Innovator in Digital Image Processing
Introduction
Ursula Körner is a prominent inventor based in Seligenstadt, Germany. She has made significant contributions to the field of digital image processing, particularly in the area of object recognition. Her innovative approach combines statistical methods with image segmentation to enhance the accuracy of image analysis.
Latest Patents
Ursula Körner holds a patent for the "Preparation of a digital image with subsequent edge detection." This invention involves segmenting an image into areas of similar homogeneity at a coarse scale, which are then interpreted as surfaces. By evaluating information from different spatial scales and image features, her method exploits statistical dependencies on their joint appearance. The local standard deviation of specific gray levels in the vicinity of an observed pixel serves as a measure for local image homogeneity, aiding in the estimation of dominant global object contours. This information is utilized to mask the original image, allowing for fine-detailed edge detection only in areas where global contours exist. Additionally, the edges undergo orientation detection, while noise and small details are suppressed, enhancing the robustness of object recognition.
Career Highlights
Ursula Körner is affiliated with Honda Research Institute Europe GmbH, where she continues to advance her research in digital image processing. Her work has garnered attention for its innovative techniques and practical applications in various fields.
Collaborations
Ursula collaborates with notable colleagues, including Edgar Körner and Marc-Oliver Gewaltig, contributing to a dynamic research environment that fosters innovation and development.
Conclusion
Ursula Körner's contributions to digital image processing exemplify the impact of innovative thinking in technology. Her patent reflects a significant advancement in object recognition, showcasing her expertise and dedication to the field.
