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Image quality enhancement is a crucial requirement in many applications of digital image and video processing. Removing artifacts which are suffered from image compression will lose simultaneously image texture components. This paper combines Beltrami method and the window derivative to construct the texture map in an attempt to preserve image details during filtering artifacts. Texture map enhancement...
We proposed a novel straight line detection method that can exclude line segments belonging to curved lines and integrates line segments of the same straight line. The proposed method links the edge pixels into strips and segments each strip into a series of line segments. Then the line segments are exploited to split the strips into strip fragments without turning points and then identify candidate...
In this paper, a novel similar background components connection algorithm is presented to detect colorful texts. Before, the components were extracted accurately according to a color-based stroke width extraction rule proposed in the paper. In the stage of filtering non-text components, a specially designed metric is presented to adjust the parameter values of the filter, so that the filter is more...
Light is a mixture of multiple spectral components. An image is a response of the scene with respect to these spectra. Principal components are more compact representation of the data compared to any other representations. Hence accuracy of the estimated defocus parameter is higher in principal component representation than any other customary used representations. In this paper, we present comparison...
A novel hand gesture detection method in complex background is presented in this paper, it proposed a multi class cascade structure classification based on Gentle AdaBoost (GAB) and Weighted Linear Discriminant Analysis (wLDA). The training and testing experiments are based on the sample database established myself. Histogram of Oriented Gradient (HoG) features of one pair of blocks are extracted...
Nowadays, electronic toll collection (ETC) is used extensively in many countries and places, but many drivers evade detection by covering, altering or otherwise obscuring their license plates. In order to detect vehicles attempting to evade paying tolls, this study aims to identify vehicles without requiring the license plate information. Unlike traditional vehicle license plate recognition, in this...
The initialization is considerably important for automatic segmentation of transrectal ultrasound (TRUS) images. This paper presents a novel initialization method based on narrow band boundary feature which can be used to roughly locate the boundary of interest in prostate TRUS images. The proposed method is able to automatically locating the edge in very few time and experimental results showed that...
In this paper, we propose a novel line segment detector, named as NETLines, which can produce a set of accurate line segments and a set of node-connected line-networks formed by connection of the line segments and the image boundary. Based on the line segments generated by other line segment detectors (e.g., EDLines [1]) on an edge map, the proposed algorithm efficiently makes use of the gradient...
In this work, we introduced a novel localized region based level set model which is simultaneously effective for heterogeneous object or/and background and robust against noise. As such, we propose to minimize an energy functional based on a selective local average, i.e., when computing the local average, instead to use the intensity of all the pixels surrounding a given pixel, we first give a local...
Graph Matching (GM) plays an essential role in computer vision and machine learning. The ability of using pairwise agreement in GM makes it a powerful approach in feature matching. In this paper, a new formulation is proposed which is more robust when it faces with outlier points. We add weights to the one-to-one constraints, and modify them in the process of optimization in order to diminish the...
The atomic force microscope (AFM) is a powerful imaging tool able to measure surface topology at the nanometer scale that is particularly well-suited to biological applications. Despite advances that have pushed imaging speeds of the fastest instruments to on the order of 10 frames/second, there remains a need for even faster speeds. In addition, there is a large installed base of standard, slower...
Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image. Unfortunately, existing methods to address this problem are either accurate, but too slow for mobile devices, or fast, but prone to failing. We propose a method that fills this void: our approach is extremely fast—under 700ms...
The recognition of forged fingerprints at crime scenes is a very old challenge. Various forgery techniques can be applied to produce such traces. However, the detection of such forgeries usually involves a thorough manual inspection. For the example of fingerprints printed using ink-jet printers and artificial sweat, first pattern recognition approaches are proposed in prior work employing two different...
This work presents a novel real-time algorithm for runway detection and tracking applied to the automatic takeoff and landing of Unmanned Aerial Vehicles (UAVs).
For depth-from-stereo vision applications such as driving assistance and object-size estimation, the accuracy of disparity estimation determines the precision of depth measurement. Conventional dense methods are hard to estimate disparity within a 0.1 pixel precision. In this paper, we present a novel object-based method to achieve robust and deep sub-pixel accurate disparity estimation. In our experimental...
Image corners encapsulate gradient changes in multiple directions. Therefore, corners are considered as efficient features for use in robotic navigation algorithms. Template based corner detection has a low computational complexity and is straightforward to implement. With the appropriate design of templates, satisfactory detection accuracy can also be achieved. In this paper, we introduce two new...
In this paper, a robust traffic sign recognition system is introduced for driver assistance applications and/or autonomous cars. The system incorporates two major operations, traffic sign detection and classification. The sign detection is based on color segmentation and incorporates hue detection, morphological filter and labeling. A nearest neighbor classifier is introduced for sign classification...
There is strong evidence that robustness in human and robotic grasping can be achieved through the deliberate exploitation of contact with the environment. In contrast to this, traditional grasp planners generally disregard the opportunity to interact with the environment during grasping. In this paper, we propose a novel view of grasp planning that centers on the exploitation of environmental contact...
In this paper we present an efficient algorithm to compute exact value set contours of affine uncertain transfer functions. This algorithm is based on a generalization of line-sweep algorithms developed for computational geometric applications and preserves the geometric parametrization of value set contours.
The paper deals with the problem of robust absolute stability of systems with parametric uncertainties. By using a 2q-convex parpolygonal value set of a family of polynomials of the form P(s, q) = a0(q) + a1(q)s +………+ an(q)sn whose coefficients depend linearly on q = [q1, q2,…, qq]T and the uncertainty box is Q = {q : qi ∊ [qi, qi], i = 1,2,….q}, an extremal boundary result for a transfer function,...
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