Wolfgang Ortmann

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BACKGROUND The purpose of this study was to develop an automated image analysis algorithm to discriminate between head and neck cancer and nonneoplastic epithelium in confocal laser endomicroscopy (CLE) images. METHODS CLE was applied to image head and neck cancer epithelium in vivo. Histopathologic diagnosis from biopsies was used to classify the CLE(More)
In this paper an approach is presented for robust shift detection of two given images. The new unifying idea is that we determine a shifted delta impulse using some well-known restoration techniques, e.g. the Wiener filtering , constraint restoration, entropy restoration, and Baysian restoration. The used restoration techniques imply the robustness of the(More)
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing , license plate recognition etc.). In our contribution we present an efficient segmentation framework using a pre-processing step for shadow suppression combined with a local thresholding technique. The method is based on a combination of(More)
The quantitative analysis of mitochondria morphology is of great interest on medical research of neurodegnerative diseases, and also for cancer disease, and Diabetis melitus. The state-of-the-art in mitochondrial analysis is based on length measurements of randomly selected individual mitochondria. As manual segmentation and evaluation for whole cell(More)
The function of intact organelles, whether mitochondria, Golgi apparatus or endoplasmic reticulum (ER), relies on their proper morphological organization. It is recognized that disturbances of organelle morphology are early events in disease manifestation, but reliable and quantitative detection of organelle morphology is difficult and time-consuming. Here(More)
We present a fast and accurate method to compose images delivered by a quadocular document scanner into a global consistent image. The Shift Detection by Restoration (SDR) approach is used to overcome document deformations. Our method outperforms state of the art panoramic image approaches and is able to work within one second on standard hardware.