Company Filing History:
Years Active: 2015
Title: The Innovative Mind of Andreas Eriksson Jarliden
Introduction
Andreas Eriksson Jarliden is a notable inventor based in Stockholm, Sweden. He has made significant contributions to the field of image processing through his innovative work. His expertise and creativity have led to the development of a unique patent that showcases his skills as an inventor.
Latest Patents
Andreas holds a patent for a "Scribble segmentation method and apparatus." This invention provides an advanced method of segmenting images using scribble segmentation. The apparatus segments an image by constraining the membership value of a subset of image elements. It solves a weighted biharmonic equation subject to these constrained membership values, with weights determined from similarities between image elements. Additionally, the final segmentation is based on the membership value of each image element. The method also includes determining unknown membership values by solving a linear equation system using a multigrid technique, which updates a coarser level of the multigrid hierarchy to account for additional constraints using patch matrices. This patent highlights Andreas's innovative approach to image segmentation.
Career Highlights
Andreas Eriksson Jarliden is currently employed at Elekta AB, a company known for its cutting-edge medical technology. His work at Elekta has allowed him to apply his inventive skills in a practical setting, contributing to advancements in healthcare technology.
Collaborations
Andreas collaborates with Marcus Lars Eric Hennix, a fellow professional in the field. Their partnership exemplifies the importance of teamwork in driving innovation and achieving remarkable results.
Conclusion
Andreas Eriksson Jarliden is a talented inventor whose work in image segmentation has made a significant impact. His patent demonstrates his ability to innovate and contribute to the field of technology. Through his career at Elekta AB and collaborations with other professionals, he continues to push the boundaries of what is possible in image processing.