The sensitivity of imaging spectroscopy to haemoglobin derivatives makes it a promising tool for detecting blood. However, due complexity and high dimensionality hyperspectral images, the development blood detection algorithms is challenging. To facilitate their development, we present new dataset. This dataset, published in accordance open access mandate, consist multiple scenarios with varyin...

This publication presents a dataset consisting of Spanish road images taken from inside vehicle, as well annotations in XML files PASCAL VOC format that indicate the location Variable Message Signals within them. Additionally, CSV file is attached with information regarding geographic position, folder where image located and text Spanish. can be used to train supervised learning computer vision...

Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on finding text lines by dynamic local connectivity map and then applying a l...

Building upon previous projects from the first phase of collaboration with the Luce Foundation, the Berkley Center’s Religion and Global Development Program and World Faiths Development Dialogue (WFDD) are exploring key religion and development work at the country level in Bangladesh, Senegal, Kenya, and Guatemala. A team of researchers, under the leadership of Katherine Marshall, will draw fro...

Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. This is particularly true for medical imaging such as Computer Tomography (CT), magnetic resonance image (MRI), and nuclear medicine, which can be used to assist doctors in diagnosis, treatment, and research. In this paper, hybrid algorithm for segmentation ...

After microwave radiation, a synthetic aperture radar (SAR) sensor detects electromagnetic wave energy scattered by the object to be observed with an antenna and realizes shape of ground as image through analysis. However, owing characteristics, color information that can acquired from optical is absent. Therefore, colorization studies SAR images were conducted using translation techniques such...