APPLIED RESEARCH
With Industry Partners and Government
Our Department of Image Processing engages actively in cooperative applied research with industry partners, focusing on developing and enhancing cutting-edge image processing technologies. This collaboration typically involves joint research projects where academic expertise in algorithm development, machine learning, and computer vision is coupled with industry-specific challenges, providing practical, real-world applications. Industry partners contribute by offering proprietary datasets, funding, and practical insights, which facilitate the testing and refinement of theoretical models. Furthermore, these partnerships often create internships and job opportunities for students, fostering a dynamic exchange of knowledge and skills that supports academic advancement and industrial innovation. This synergy accelerates technological development and ensures that our academic research remains relevant and impactful in solving contemporary industry problems.

OUR CURRENT RESEARCH PROJECT
OUR PAST RESEARCH PROJECT
Tree Leaf Database MEW2019
This database called MEW (Middle European Woods) was originally with name LEAF created for experiments with recognition of wood species based on a leaf shape (see Recog
Denoising of underdrawing IR images by means of TPS
Infrared analysis has long been used in the fields of art history and restoration to determine the authenticity of artwork, to establish the period of an anonymous work
PROVENANCE
PROviding VErificatioN AssistaNCE for New Content
Program: Read More 2201
Software for Monitoring Coverage in Hand-Held Whole-Breast Ultrasound
Supported by (ID): TA04011392
Grantor: Technology Agency ČR
Any standard ultrasound device can be equipped with an electromagnetic 3D



