Obtaining accurate 3d descriptions in the thermal infrared (TIR) is a quite challenging task due to the low geometric resolutions of TIR cameras and the low number of strong features in TIR images. Combining the radiometric information of the thermal infrared with 3d data from another sensor is able to overcome most of the limitations in the 3d geometric accuracy. In case of dynamic scenes with...

Thermal imaging is a potential tool for estimating plant temperature, which can be used as an indicator of stomatal closure and water deficit stress. In this study, a new method for processing and analysing thermal images was developed. By using remote sensing software, the information from thermal and visible images was combined, the images were classified to identify leaf area and sunlit and ...

This report describes our initial in vitro results with roboticallyassisted strain imaging for intraoperative monitoring of hepatic tumor thermal ablation. First, we demonstrate a strong correlation between thermal ablation of liver tissue and changes in elastic properties. Second, we present an experimental environment to provide controlled robotically-assisted compression of liver tissue with...

This paper presents a method of automatic detection of heat loss level in buildings on the basis of thermal images. The designed algorithms use OCR and image recognition techniques. Several steps such as heatmap area detection and key search lead to the result which is a percentage value of areas with temperature higher than a threshold value given by the user. This approach was tested on diver...

OBJECTIVE Artifacts from gas bubble formation during radio frequency ablation along with the poor intrinsic contrast between normal and treated regions (zone of necrosis) are considerable problems for the visualization of the necrotic region on conventional sonography. Sonographic elastography is very effective for visualizing the zone of necrosis, but it uses the same echo signals to estimate ...

Potato yield and quality are highly dependent on an adequate supply of nitrogen and water. Opportunities exist to use airborne hyperspectral (HS) remote sensing for the detection of spatial variation in N status of the crop to allow more targeted N applications. Thermal remote sensing has the potential to identify spatial variations in crop water status to allow better irrigation management and...

Emissivity mapping of the Earth’s surface is the prerequisite to thermal remote sensing. A precise determinationof a surface's temperature is dependent upon the availability of precise emissivity data for that surface. The presentstudy area is a part of sugarcane plantation fields in the west part of Khuzestan province. In this work, TemperatureEmissivity Separation algorithm (TES) was applied ...

Rodent monitoring in biomedical laboratories is a time consuming and tedious task. Several automatic solutions that rely on different types of sensors have been proposed. Computer vision provides a significantly more universal and less intrusive solution. In this article we propose a new method to detect and classify three behaviors in rodents: Exploring, Rearing, and Static. The method uses Mo...

A new integration method is presented to recognize the emotional expressions of human. We attempt to use both voices and facial expressions. For voices, we use such prosodic parameters as pitch signals, energy, and their derivatives, which are trained by Hidden Markov Model (HMM) for recognition. For facial expressions, we use feature parameters from thermal images in addition to visible images...

A new integration method is presented to recognize the emotional expressions. We attempted to use both voices and facial expressions. For voices, we use such prosodic parameters as pitch signals, energy, and their derivatives, which are trained by Hidden Markov Model (HMM) for recognition. For facial expressions, we use feature parameters from thermal images in addition to visible images, which...