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Various statistical methods such as co-occurrence matrix, local binary patterns and spectral approaches such as Gabor filters have been used for generating global features for image classification. However, global image features fail to distinguish between local variations within an image. Bag-of-visual-words (BoVW) model do capture local variations in an image, but typically do not consider spatial...
With the advent of numerous remote sensing sensors available for the researcher, the fusion of digital image data has become a imperative tool for classifying remote sensing image and evaluation too. Remote sensing image fusion not only improves the spatial resolution of the original multispectral image, but also improves the spectral quality of merged product. Quantitative and qualitative digital...
With the arrival of High Definition Television (HDTV), the TV technology is heading towards 3DTV. Evolution of 3DTV requires the facility of capturing and analyzing the multi-view images and compressing and transmitting massive volume of data through the communication channel. The most sever issue in 3D shape extraction is the roughness of the surfaces. Image focusing is a dominant method of reconstructing...
Localization of the eyes and mouth in face images is very important for accurate classification in automatic face recognition systems. The alignment of unknown face images with templates generally improves the performance of the face recognition system, and this process uses locations of the eyes and mouth. In this work, we compare different features (gray-level values, distance transform features,...
To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher...
Locating an iris is important in an iris recognition system. Previous studies have shown good performance when an iris image is clear. However, if an iris image is occluded by eyelids, eyelashes and reflection, the accuracy and robustness of localization will decrease significantly. This paper proposed a new algorithm to locate an iris in a coarse-to-fine manner: firstly, a modified radial symmetry...
In recent years, there has been great progress in the field of multi-focus image fusion. However, existing methods still have their respective defects, and the quality of fused image needs to be improved further. In this paper, a novel fusion method by progressive pixel extraction is proposed. In accordance with the sums of all high-frequency coefficients in a series of windows, the method aims at...
The existing pupil center detection algorithms have fine performance for the ideal eye images. However, the captured eye images are often influenced by various conditions, such as eyelashes, hair, luminance, glasses and so on. In order to detect pupil center under disturbed conditions, this paper proposes a novel algorithm based on radial symmetry transform. Experimental results show that the method...
Motion estimation using one-bit transform and two-bit transform reduces the complexity for computation of matching error; however, the peak signal-to-noise ratio (PSNR) is degraded. Modified 1BT (M1BT) and modified 2BT (M2BT) have been proposed in [5,6] to compensate degraded PSNR by adding conditional local search. However, these algorithms require many additional search points in fast moving sequences...
This paper presents a new technique, used to register two images of the same modality and that are assumed to be differ from each other, by a rotation and a scale. Recently, researchers have introduced image registration techniques using log-polar transform for its scale and rotation invariant properties. However, it suffers from non-uniform sampling and it leads to inaccurate registration. Inspired...
Ship detection involves two correlated tasks — ship target detection and ship wake detection. This paper proposes a method for automatic ship wake detection from SAR image. A localized Radon transform is processed around the ship target to detect linear features after ship target detection. It can smooth the speckle noise and improve the SNR in Radon transform space. So the false alarms can be reduced...
Shot boundary detection is a field of research of video processing. It aims to automatically detect the transition between the shots in the digital video. In this paper, a new video cut transition detection algorithm is presented by using Hilbert transform and Gray level co-occurrence matrix (GLCM). Texture features are extracted from the GLCM and the corresponding distance measure between the adjacent...
In this paper, we propose a new methodology for detecting lane markers that exploits the parallel nature of lane boundaries on the road. First, the input image is pre-processed and filtered to detect lane marker features. Then, using the Polar Randomized Hough Transform that is introduced in this paper, lines are fitted through the detected features and the orientation of each line is evaluated. By...
The purpose of this article is to introduce the achievements reached with the Mojette Transform in recent years within our workgroup including from the simple description of the Mojette Transform and the Inverse Mojette Transform which originates form France to a theory of real time application. We introduced the benefits of the transform through its implementation in .Net environment. Describing...
In this paper we present methods for downsampling datasets defined on graphs (i.e., graph-signals) by extending downsampling results for traditional N-dimensional signals. In particular, we study the spectral properties of k-regular bipartite graphs (K-RBG) and prove that downsampling in these graphs is governed by a Nyquist-like criteria. The results are useful for designing critically sampled filter-banks...
In this paper, we explore the notion of using frames to project sensed colors within their inherently 3D space onto a larger number of color basis vectors. In particular, we develop a new frame design, Incoherent Color Frames (ICF), which can include an arbitrary number of incoherent color vectors. An ICF frame possesses key desired properties including the ability to sparsify colors in 3D and to...
A robust automatic crack detection method for nonuniform colour distributions on texture images is proposed. In this method a new image segmentation technique is developed while the Hough transform is used for feature extraction. Meanwhile, the detection is based on standard discriminant analysis, featuring Wilk's λ selection criteria. The methods and procedures were tested on commercial biscuit crackers,...
Building extraction in SAR images is still a difficult task due to the geometric distortions, the electromagnetic wave interactions between adjacent targets, and the speckle noises. In this paper, a method for building L-shape footprint extraction from high resolution SAR images jointly using image segmentation and line detection is proposed. Experiments based on a TerraSAR-X image show that method...
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