TITLE

Uniform depth region-based registration between colour channels and its application to single camera-based multifocusing

AUTHOR(S)
Jinhee Lee; Paik, Joonki
PUB. DATE
February 2013
SOURCE
IET Image Processing;Feb2013, Vol. 7 Issue 1, p50
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This study presents a spatially varying image registration method based on regions of the same depth. The proposed registration method uses phase correlation matching to measure colour shifting vectors (CSVs) between colour channels in a prespecified region of the same distance to the camera, and aligns colour channels of the corresponding region according to the CSV. The authors also present the foreground region detection method by using binary edge labelling and analysis of histograms of channel-shifting features. The major contribution of this study is 2-fold: (i) the proposed method can be considered as a region-wise approximated version of fully non-rigid registration, which is widely used in the medical imaging area, and (ii) it can compensate misalignment between red (R), green (G) and blue (B) colour channels caused by refraction and chromatic aberration of a multiple colour-filtered aperture (MCA) camera, which has been proposed as a single camera-based multifocusing system. Among various applications of non-rigid image registration, the proposed region-based registration method is particularly suitable for multifocusing images acquired by an MCA camera. In depth analysis of each step of the proposed algorithm is provided with experimental results, and its application to the MCA camera is also provided to realise efficient depth estimation and highly accurate multifocusing functions using a single camera. Without using joint histogram or geometric transformation, the proposed region-adaptive approach successfully approximates the fully non-rigid registration with significantly reduced amount of computation.
ACCESSION #
92766750

 

Related Articles

  • Application of Hough Transform in Thermometer Detection. Zhaowei Meng; Xin Liu // Journal of Applied Sciences;2013, Vol. 13 Issue 16, p3269 

    Hough Transform is a regularly used method in thermometer detection. It can effectively extract line segments and curves in images. This thesis mainly applies the algorithm of extracting thermometer scale lines by Hough Transform and improves the searching distance and range to improve operating...

  • Image quality assessment scheme with topographic independent components analysis for sparse feature extraction. Yong Ding; Hang Dai; Shaoze Wang // Electronics Letters;3/27/2014, Vol. 50 Issue 7, p509 

    A no-reference objective metric for image quality assessment by integrating the topographic independent components analysis into feature extraction is presented. By taking the topographic relationship among the initially independent features into consideration, it extracts the features of more...

  • Multiresolution Edge Fusion using SWT and SFM. Udomhunsakul, Somkait; Yamsang, Pradab; Tumthong, Suwut; Borwonwatanadelok, Pusit // Proceedings of the World Congress on Engineering 2011 Volume I;2011, p704 

    In this paper, we propose a multiresolution edge fusion method based on Stationary Wavelet Transform (SWT) and Spatial Frequency Measurement (SFM). Our proposed method, Stationary Wavelet Transform (SWT) is firstly applied with the original image to get the edge image information both in level 1...

  • The Improved Algorithm of Edge Detection Based on Mathematics Morphology. Deng Caixia; Chen Yu; Bi Hui; Han Yao // International Journal of Signal Processing, Image Processing & P;2014, Vol. 7 Issue 5, p309 

    In morphology, the structural elements of different sizes and shapes have different abilities in maintaining image detail and anti-noise, an adaptive algorithm of edge detection based on multi-structure and multi-scale element is presented in this paper. First, the existing morphological...

  • Assigning Main Orientation to an EOH Descriptor on Multispectral Images. Yong Li; Xiang Shi; LijunWei; Junwei Zou; Fang Chen // Sensors (14248220);Jul2015, Vol. 15 Issue 7, p15595 

    This paper proposes an approach to compute an EOH (edge-oriented histogram) descriptor with main orientation. EOH has a better matching ability than SIFT (scale-invariant feature transform) on multispectral images, but does not assign a main orientation to keypoints. Alternatively, it tends to...

  • Evaluación del impacto del preprocesamiento de imágenes en la segmentación del iris. Valencia-Murillo, José F.; Poveda-Sendales, Daniel A.; Valencia-Vargas, Daniel F. // Revista Tecno Lógicas;jul-dic2014, Vol. 17 Issue 33, p31 

    Segmentation is one of the most important stages in iris recognition systems. In this paper, image preprocessing algorithms are applied in order to evaluate their impact on successful iris segmentation. The preprocessing algorithms are based on histogram adjustment, Gaussian filters and...

  • Edge Detection for Objects in the Upper Triangle Gray Scale Image by Cholesky Decomposition and Unsharp Masking (USM). Mohamed Shaban, Hind Rostom; Mohammad Husain, Ameer // International Journal of Computer Applications;Jan2014, Vol. 85, p1 

    In this paper, we propose an efficient and effective method for Edge detection for objects in the upper triangle Gray Scale Image. The optimal Edge detection discriminative features of gray scale images are obtained by performing Cholesky decomposition, which could be implemented using the edge...

  • Pebbles fuzzy clustering based on digital image technology. SONG Xiao-long; BAI Yu-chuan // Application Research of Computers / Jisuanji Yingyong Yanjiu;May2014, Vol. 31 Issue 5, p1566 

    To achieve digital pebble classification, this paper used digital image technology, obtained image edge information, applied least square roundness error theory to build a new parameter system describing pebble shape. Based on the fuzzy theory, it used maximal tree method and did pebble fuzzy...

  • EDGE DETECTION IN DOCUMENT ANALYSIS. Zaharescu, Mihai; Petrescu, Ionuţ Cosmin // Journal of Information Systems & Operations Management;May2013, Vol. 7 Issue 1, p152 

    The significant improvements in edge detection, vectorization, contour specification, and skeleton extraction that were made in the past years should be included in the document analysis pipeline. We discuss the general OCR system, introduce an edge detection specialized for characters, present...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics