A method for lossless raster font compression and decompression has been patented. It uses vertex chain code to define character’s outline, and compresses this code by Huffman coding algorithm. The new method requires least memory space to store the raster fonts among the known methods. Due to the low complexity of the decoder, this method is ideal for use in embedded systems.
F.33 Slovenian patent
COBISS.SI-ID: 501800This paper describes a computer vision based model for object detection that can serve as a preliminary step in fruit prognosis, which involves the estimation of the number, diameter and yield of apple fruits. In order to overcome the recognition unreliability in uncontrolled environments caused by uneven illumination conditions, partly occluded surfaces, and similar background features, we rely on a combination of the objectćs colour, texture and 3D shape properties. In our research, we apply colour segmentation to multiple scene snapshots to separate potential regions from the background andverify them first with texture analysis and second by reconstructing them to 3D space. By analysing all three distinct features (colour, texture and 3D shape) of possible areas, we can safely conclude if they represent fruits we are looking for. Once we detect and verify all areas representing fruits, we can measure their size and model estimated fruit yield.
F.04 Increase of the technological level
COBISS.SI-ID: 3078700Application for teaching firefighters to extinguish various types of fire, SIN, was delivered to the Administration of the Republic of Slovenia for Civil Protection and Disaster Relief, and it has been included in the training process of firefighters.
F.11 Development of a new service
COBISS.SI-ID: 15520278