Pseudocolouring Enhancement Processing Of Ovarian Ultrasound Images.

Image processing may be employed on ovarian ultrasound images to assist doctors in diagnostic analysis

Ovaidan Ultrasound Image Enhancement By Pseudocolouring.

Image processing may be employed on ovarian ultrasound images to assist doctors in diagnostic analysis. The gray levels of ovarian images are usually concentrated at the zero end of the spectrum ,making the image too low in contrast and too dark for the naked eye. This paper examines the effectiveness in displaying gray level ultrasound images as colour images and proposes a pseudocolouring approach for enhancing features in ultrasound ovarian image, which allows easy discrimination Of texture information

3D Reconstruction: Novel Method for Finding of Corresponding Points using Pseudo Colors

This paper deals with the reconstruction of spatial coordinates of an arbitrary point in a scene using two images scanned by a 3D camera or two displaced cameras. Calculations are based on the perspective geom-etry. Accurate determination of corresponding points is a fundamental step in this process. The usually used methods can have a problem with points, which lie in areas without sufficient contrast. This paper describes our proposed method based on the use of the relationship between the selected points and area feature points. The proposed method finds correspondence using a set of feature points found by SURF. An algorithm is proposed and described for quick removal of false correspondences, which could ruin the correct reconstruction. The new method, which makes use of pseudo color image representation (pseudo coloring) has been proposed subsequently. By means of this method it is possible to significantly increase the color contrast of the surveyed image, and therefore add more information to find the correct correspondence. Reliability of the found correspondence can be verified by reconstruction of 3D position of selected points. Executed experiments confirm our assumption

Selected Problems in Photogrammetric Systems Analysis

Disertační práce se zabývá vybranými partiemi digitální fotogrammetrie. V první části práce je definované téma a popsán současný stav poznání. V následujících kapitolách jsou postupně řešeny čtyři dílčí navzájem navazující cíle. První oblastí je návrh metody pro hledání souhlasných bodů v obraze. Byly navrženy dvě nové metody. První z nich používá konverzi snímků do nepravých barev a druhá využívá pravděpodobností model získaný ze známých párů souhlasných bodů. Druhým tématem je analýza přesnosti výsledné rekonstrukce prostorových bodů. Postupně je analyzován vliv různých faktorů na přesnost rekonstrukce. Stěžejní oblastí je zkoumání vlivu chybného zarovnání kamer a chyby v určení souhlasných bodů. Třetím tématem je tvorba hloubkových map. Byly navrženy dva postupy. První přístup spočívá v kombinaci pasivní a aktivní metody druhý přístup vychází z pasivní metody a využívá spojitosti hloubkové mapy. Poslední zvolenou oblastí zájmu je hodnocení kvality 3D videa. Byly provedeny a statisticky vyhodnoceny subjektvní testy 3D vjemu pro různé zobrazovací systémy v závislosti na úhlu pozorováníThis dissertation deals with selected topics of digital photogrammetry. The problem is defined and the state of the art is described in the first part of the dissertation. Four specified aims are solved. The proposal of the method for finding corresponding points is the first topic. Two new methods were proposed. The first method uses conversion of an image to pseudo- colors. The second method used a probabilistic model obtained from the known pairs of the corresponding points. The analysis of the accuracy of the reconstruction is the second solved topic. The influence of the various aspects to the accuracy of the reconstruction is analyzed. The most attention is paid to incorrect camera alignment and errors in finding corresponding points. The third topic is estimation of the depth maps. The two method were proposed. The first method is based on the combination of the passive and active method. The second wholly passive approach uses continuity of the depth map. The last investigative topic is quality of experience of the 3D videos. The subjective tests of the perception of 3D content for the various 3D displaying systems were performed. The dependency of the perception on the viewing angle was also investigated.

X-Ray Image Processing and Visualization for Remote Assistance of Airport Luggage Screeners

X-ray technology is widely used for airport luggage inspection nowadays. However, the ever-increasing sophistication of threat-concealment measures and types of threats, together with the natural complexity, inherent to the content of each individual luggage make x-ray raw images obtained directly from inspection systems unsuitable to clearly show various luggage and threat items, particularly low-density objects, which poses a great challenge for airport screeners. This thesis presents efforts spent in improving the rate of threat detection using image processing and visualization technologies. The principles of x-ray imaging for airport luggage inspection and the characteristics of single-energy and dual-energy x-ray data are first introduced. The image processing and visualization algorithms, selected and proposed for improving single energy and dual energy x-ray images, are then presented in four categories: (1) gray-level enhancement, (2) image segmentation, (3) pseudo coloring, and (4) image fusion. The major contributions of this research include identification of optimum combinations of common segmentation and enhancement methods, HSI based color-coding approaches and dual-energy image fusion algorithms —spatial information-based and wavelet-based image fusions. Experimental results generated with these image processing and visualization algorithms are shown and compared. Objective image quality measures are also explored in an effort to reduce the overhead of human subjective assessments and to provide more reliable evaluation results. Two application software are developed − an x-ray image processing application (XIP) and a wireless tablet PC-based remote supervision system (RSS). In XIP, we implemented in a user-friendly GUI the preceding image processing and visualization algorithms. In RSS, we ported available image processing and visualization methods to a wireless mobile supervisory station for screener assistance and supervision. Quantitative and on-site qualitative evaluations for various processed and fused x-ray luggage images demonstrate that using the proposed algorithms of image processing and visualization constitutes an effective and feasible means for improving airport luggage inspection

A Simple Parametric Equation for Pseudocoloring Grey Scale Images Keeping their Original Brightness Progression

A new formalism to generate pseudocolor spectra is introduced. Therefore, a parametric path in the RGB--color cube is derived to guarantee constant brightness progression. The resulting spiral--like curve allows the generation of various color spectra by adjusting the spiral's frequency and phase. The formalism allows the determination of the resulting number of colors in dependency of both parameters. Therefore, these spectra are particularly useful to represent 12 bit data on common computer graphic adapters with 4096 displayable pseudocolor values instead of 256 displayable grey intensities. In this paper, the spectra are applied to medical X--ray images yielding an enhanced visualization of the diagnostic information

Pseudo-colour imaging of the monochromatic pictures

Diplomová práce zobrazování černobílých snímků v nepravých barvách se zabývá prostudováním metodiky zobrazení černobílých snímků v nepravých barvách a aplikací zjištěných poznatků při vytvoření počítačového softwaru. Hlavní funkcí programu je převedení monochromatického snímku do nepravých barev. Tímto postupem je docíleno zvýšení diagnostické výtěžnosti snímku. Největší uplatnění může program naleznout v medicínské oblasti. K pseudobarvení je použito několik různých metod, které jsou pro získání co nejlepších výsledků kombinované s úpravami jasové stupnice snímku zvyšujícími kontrast obrazů. Program je vytvořen v programovacím prostředí Visual Studio 2008 a napsán programovacím jazykem C#. Vstupem programu je monochromatický obraz v různých formátech (JPEG, BMP). Výstupem programu může být vytisknutý snímek v nepravých barvách nebo uložený obrázek opět v několika různých formátech.Diploma thesis displaying black and white image in false color includes a study of methods and creation of computer software. The main function of the program is to convert the monochrome image into the pseudo colors. This procedure is achieved increasing the diagnostic yield of image. The program may find application in medical field. The pseudocoloring is used several different methods for obtaining the best results, combined with modifications increasing brightness scale image contrast images. The program is created in the programming environment of Visual Studio 2008 and written in C # programming language. Entry program is monochrome images in various formats (JPEG, BMP). The output of the program can be printed in a false-color image or stored image again in several different formats.