Reproduction of Images of Convex Figures by a Set of Stored Reference Surfaces

Image processing is one of the important tasks of creating artificial intelligence. The methods for digital images processing are widely used by developers at this time. The parallel shift technology makes it possible to create alternative ways of describing and processing images. It involves the transformation of images not into a set of pixels, but into a set of functions that are organized in a certain way. The completeness of the system is determined by the ability to perform some basic tasks. Image processing includes image pre-processing, video data storage, various image manipulations, images restoration. This chapter discusses a mathematical model for the recovery of flat convex binary images. Images are restored on the basis of data generated by an image processing system based on parallel shift technology. Two methods are provided for determining the imaging area.

Multidetector computed tomography angiography of the celiac trunk and hepatic arterial system: normal anatomy and main variants

Although digital angiography remains as the gold standard for imaging the celiac arterial trunk and hepatic arteries, multidetector computed tomography in association with digital images processing by software resources represents a useful tool particularly attractive for its non invasiveness. Knowledge of normal anatomy as well as of its variations is helpful in images interpretation and to address surgical planning on a case-by-case basis. The present essay illustrates several types of anatomical variations of celiac trunk, hepatic artery and its main branches, by means of digitally reconstructed computed tomography images, correlating their prevalence in the population with surgical implications.

Determination of the Delamination Percentage of Compacted Bamboo Guadua Using Extended Field Digital Images Processing

The percentages of delamination of Compacted Bamboo Guadua were calculated using digital images processing. Three processes were done in the development of this project: tests of delamination, digital image pre-processing and digital image processing of the images acquired. The test of delamination followed the ASTM 5824. The digital image pre-processing was supported on the acquisition of sequences of images, doing a sweeping of the samples, and finally the digital processing worked in the generation of panoramas with sequences of images acquired from the sample. Additionally, the total area from the sample was measured digitally, the segmentation and the measurement of delamination area were done, finding the ratio between the delamination area and the total area of the sample, and obtaining the value of percentage of delamination per section. Digitally, the obtained values for samples made with fibers obtained from Stick (Varillón), Top (Sobrebasa), Middle (Basa) parts and mixture of them were 16.97%, 9.96%, 5.96% and 8.64% respectively.

Analysis of the Fiber Density in Bamboo Guadua angustifolia Kunth by Extended Field Microscopy and High Resolution Images Processing

The fiber density per cross section of the Bamboo Guadua Angustifolia Kunth (GAK) was calculated by digital images processing. Three processes were done in the development of this work: preparation of the samples, digital pre-processing of the images acquired, and digital processing of the images acquired. For the preparation of the samples, the polishing with different abrasive papers and wool were done, and afterwards, it was added revealing ink on surface to make better the contrast between the fiber zones. The digital pre-processing of the images was based on the acquisition of sequences of images, doing a sweeping of the samples using an automatic plate. The digital processing consisted in the generation of panoramas with sequences of images acquired from the sample. The cross section fiber density was obtained by the calculus of the reason between digital measurement of the total area of the fibers and the total area of the sample. Finally, the values obtained for the fiber density were: 0.34, 0.41 and 0.43 for bottom, middle and top part of the culm respectively.

The Issue of Documentation of Hardly Accessible Historical Monuments by Using of Photogrammetry and Laser Scanner Techniques

This article deals with issues of measuring hardly accessible historical monuments on the example of the Slanec castle, Slovakia. In the first phase the convergence case of close-range photogrammetry was applied using digital camera Pentax K10D. Subsequently was created its 3D model in the PhotoModeler Scanner software. Special attention was paid to shape of ground, surroundings and characteristic of object of interest about choice of the right method and technique of making digital images. Processing of images was made with the highest possible accuracy with respect to the used method and apparatus. As a result of processing, the exact spatial model was made, which was exported to different formats. Also digital photo-plan with real photo textures and vector drawings was made. In the next phase the whole object of castle was measured with the laser scanner Leica ScanStation C10 and the final point cloud was processed in the best available software. The results obtained by both methods were compared in comparable digital formats with respect to the positional accuracy of final models. In the final phase is planned to obtain images appropriate for convergence case of photogrammetry using digital camera placed on a carrier on the MikroKopter HexaKopter controlled from the ground. Then the final comparison and further analysis of all acquired models can be made.