Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Camera Calibration


3D Object Modeling Using Eye on Hand Approach

Athraa M.Salih Ahmed; Ali Abbar Khleif

Engineering and Technology Journal, 2016, Volume 34, Issue 3, Pages 497-512
DOI: 10.30684/etj.2016.112911

This research proposed vision measurement system which consists of a camera carried on hand of a robot, which captured 2D image to the object from two sides with a constant distance of the objects. To achieve this work several experimental steps are needed: First step includes calibrating the camera by using a standard block to find the best distance between the camera and the object.The best result of a distance is (410)mm. The second step consists of using MATLAB 7.12.0 (R2011a) program to achieve image processing to get some digital information (number of pixels in each row and column), using the proposed line by line scanning algorithm, to extract 2D object dimensions. The resulted dimensions are found closer to real object dimensions that are measured using a digital vernier and 3d digital probe. Last step includes 2D image manipulating using the proposed algorithms to reconstruct the 3D objects depending on the resulted information (number of pixels).

Image Based 3D Object Reconstruction System

Ali Abbar Khleif; Athraa M.Salih Ahmed

Engineering and Technology Journal, 2016, Volume 34, Issue 2, Pages 393-405
DOI: 10.30684/etj.2016.112639

The concepts of image processing, computer vision and computer graphics have very important using in different laterals science. This research proposed vision measurement system which consists of a camera carried on hand of a robot, which captured 2D image to the object from two sides with a constant distance of the objects. To achieve this work several experimental steps are needed: First step including calibrating the camera by using a standard block to find the best distance between the camera and the object, the best result of a distance is (410)mm. The second step consist of using MATLAB 7.12.0 (R2011a) program to achieve image processing to get some digital information (number of pixels in each row and column), by scanning the image line by line, to extract 2D object dimensions. The resulted dimensions are found closer to real object dimensions that are measured using a digital vernier and 3d digital probe. Last step includes 2D image manipulating to reconstruct the 3D objects depending on the resulted information (number of pixels).

Object Color Estimation Using Digital Camera for Noncontact Imaging Applications (Case Study: Teeth Color Estimation)

Sinan Majid Abdul satar; Mehdi Munshid shellal; Ahmed Chyad Kadhim; Zainab M. Abdul Ameer

Engineering and Technology Journal, 2013, Volume 31, Issue 4, Pages 529-538
DOI: 10.30684/etj.31.4B.11

There has been a considerable effort in several fields, for objective color analysis and characterization. This paper study the problem of teeth color estimation using the most common color space in current use being the Commission International ed’ Eclairage L*a*b* parameters of the captured images were derived from Photoshop software and saved as digital shade guides. A set of ceramic teeth shade was used, Images were captured with high resolution digital camera with LED flash and the data obtained was used to calculate the L*a* and b* values, these values conventionally obtained directly from RGB space. This paper proposed a method to estimating teeth color information from acquired camera data by calculating the L*a*b*values from the device independent color space the CIEXYZ space using transformation matrix which is involve calibration and characterization parts. The results showed significant correlation between data obtained from the digital camera using calibration and characterization process with that obtained from spectrophotometer, also the result showed that the digital camera can be used for color measurements in dental clinic, where the digital imaging could be an alternative for using colorimetric or spectrophotometric methods.