Separation of sky and background pixels in hemispherical forest images MTAT.03.260 Pattern Recognition and Image Analysis

Vision-based Robot Localization Course project in MTAT.03.260 Pattern Recognition and Image Analysis

الگوریتمی جدید در تشخیص قالب و مرکزیابی دقیق ستارگان تصاویر آسمان شب

In this paper a novel night sky star pattern recognition and precise centroiding approaches are proposed. Precision and computation time of image processing algorithm paly a great role in spacecraft in which the night sky star images are utilized for attitude determination. Star pattern recognition and centroiding are the most important steps of image processing algorithm in such attitude deter...

Profile Based Sub-pixel-classification of Hemispherical Images for Solar Radiation Analysis in Forest Ecosystems

The analysis of classified hemispherical images of forest stands is a common method in forestry to determine site-related factors for plants. A segmentation of hemispheric images, followed by an intersection with the daily and annual path of the sun, provides a quantitative measure on the solar radiation conditions for young plants. For that purpose reliably classified images have to be generat...

Separation Between Anomalous Targets and Background Based on the Decomposition of Reduced Dimension Hyperspectral Image

The application of anomaly detection has been given a special place among the different   processings of hyperspectral images. Nowadays, many of the methods only use background information to detect between anomaly pixels and background. Due to noise and the presence of anomaly pixels in the background, the assumption of the specific statistical distribution of the background, as well as the co...

Lossless Microarray Image Compression by Hardware Array Compactor

Microarray technology is a new and powerful tool for concurrent monitoring of large number of genes expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space. Hence, real-time processing of these images and transmission of them necessitates efficient and custom-made lossless compression schemes. In this paper, we offer a new archi...