Matching aerial coastline images with map data using dynamic programming

Matching aerial images with map data is an important task in several remote sensing applications such as autonomous navigation, cartography, oceanography. The unique and distinctive shapes of coastlines can be effectively utilized to solve this problem. In this study a completely automatic scheme is proposed to detect coastlines using multiresolution texture analysis and to match the detected coastlines to a map database. A shape matching method using dynamic programming is used and tested on the satellite images of the western coast of Turkey

Active eye-glasses with local dimming

7th International Conference on Electrical and Electronics Engineering, ELECO 2011; Bursa; Turkey; 1 December 2011 through 4 December 2011The sense of sight provides the most reliable information about the environment. Although the human eye has a wide dynamic range for brightness adaptation, direct exposure to relatively bright light sources wipes out the total visual perception. The most remarkable example of this situation is driving a car at night, while the other cars are coming from the opposite lane with headlights on. In this work, we have proposed and developed a set of LCD equipped active glasses to solve this light adaptation problem. First, the location of the light sources are determined using an on board camera which is assembled in front of the glasses. After processing image data, the locations of the bright light sources are darkened and the disturbing effect of intense light sources is reduced. © 2011 Chamber of Turkish Electric

Enhancing stereo matching performance by colour normalisation and specularity removal

A method to enhance the performance of stereo matching is presented. The position of the specular light reflection on an object surface varies due to the change in the position of the camera, light source, object or all combined. Additionally, there may be situations exhibiting a colour shift owing to a change in the light source chromaticity or camera white balance settings. These variations cause misleading results when stereo matching algorithms are applied. In this reported work, a single-image-based statistical method is used to normalise source images. This process effectively eliminates non-saturated specularities regardless of their positions on the object. The effect of specularity removal is tested on stereo image pairs. © 2011 The Institution of Engineering and Technology

Matching aerial coastline images with map data using dynamic programming

Matching aerial images with map data is an important task in several remote sensing applications such as autonomous navigation, cartography, oceanography. The unique and distinctive shapes of coastlines can be effectively utilized to solve this problem. In this study a completely automatic scheme is proposed to detect coastlines using multiresolution texture analysis and to match the detected coastlines to a map database. A shape matching method using dynamic programming is used and tested on the satellite images of the western coast of Turkey

Active eye-glasses with local dimming

7th International Conference on Electrical and Electronics Engineering, ELECO 2011; Bursa; Turkey; 1 December 2011 through 4 December 2011The sense of sight provides the most reliable information about the environment. Although the human eye has a wide dynamic range for brightness adaptation, direct exposure to relatively bright light sources wipes out the total visual perception. The most remarkable example of this situation is driving a car at night, while the other cars are coming from the opposite lane with headlights on. In this work, we have proposed and developed a set of LCD equipped active glasses to solve this light adaptation problem. First, the location of the light sources are determined using an on board camera which is assembled in front of the glasses. After processing image data, the locations of the bright light sources are darkened and the disturbing effect of intense light sources is reduced. © 2011 Chamber of Turkish Electric

Calibration of double stripe 3D laser scanner systems using planarity and orthogonality constraints

In this study, 3D scanning systems that utilize a pair of laser stripes are studied. Three types of scanning systems are implemented to scan environments, rough surfaces of near planar objects and small 3D objects. These scanners make use of double laser stripes to minimize the undesired effect of occlusions. Calibration of these scanning systems is crucially important for the alignment of 3D points which are reconstructed from different stripes. In this paper, the main focus is on the calibration problem, following a treatment on the pre-processing of stripe projections using dynamic programming and localization of 2D image points with sub-pixel accuracy. The 3D points corresponding to laser stripes are used in an optimization procedure that imposes geometrical constraints such as coplanarities and orthogonalities. It is shown that, calibration procedure proposed here, significantly improves the alignment of 3D points scanned using two laser stripes

Calibration of a 3D environmet scanner with a pair of line lasers

20th Signal Processing and Communications Applications Conference, SIU 2012; Fethiye, Mugla; Turkey; 18 April 2012 through 20 April 20123B lazer tarayıcılar yüzey geometrisinin yakalanması için yaygın olarak kullanılan sistemlerdir. Geleneksel lazer tarayıcı sistemler bir adet lazer ışık kaynağına sahiptir. Bu çalışmada iki adet lazer ışık kaynağına sahip bir 3B lazer tarayıcı ele alınmıştır. Bu tarayıcı özellikle sahnelerdeki örtme etkisinin en küçüklenebilmesini sağlamaktadır. Ancak birden fazla lazer kaynağına sahip lazer tarayıcılar için kalibrasyon önemli bir problem olmaktadır. Çalışmamızda bu sistemlerde karşılaşılan kalibrasyon problemi tanımlanmıştır. Bu problemin çözümü için taranan sahnelerdeki dikgenlik, eş-düzlemsellik bilgileri kullanılmıştır.3D laser scanners are widely used systems to capture surface geometry. Conventional laser scanners have one laser source. In this study, a laser scanner systems with two laser sources is considered. The scanner is capable of minimizing the effect of occlusion in the scene. But the calibration issue becomes more complicated for scanners having more than one laser source. In our study the calibration problem of such scanners are defined. Some scene specific informations like orthogonalities, co-planarities are used for solving this problem. © 2012 IEEE

Texture analysis of polymer modified bitumen images

This study aims to analyze the textural features extracted from microscopic images of elastomeric and plastomeric type polymer modified bitumen (PMB) including five different types and contents of polymers. Fluorescence microscopy was used to capture microscopic images from thin films of PMB samples at different magnification scales (400×, 100×, and 40×). Gabor filters were utilized to extract the textural features of bitumen images. The features were used in three different query tests to quantify their representation capacity. The K nearest neighbor classifier was tested using leave-one-out cross validation. Textural analysis on the captured images provided numerical results that are in compliance with subjective visual tests. © 2011 Carl Hanser Verlag, Munich, Germany