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Based on the edge feature extraction of oracle bones, two-dimensional fragments contour matching algorithm based on angular sequence is proposed to obtain the most likely njugating outcome between two pieces. The algorithm is combined with the multi-scale space, which not only solves the sharp corner problem of oracle bone conjugating effectively, also improves the computational efficiency and accuracy...
Mobile robot navigation with ceiling features such as a corner which is one of the most popular visual features used in robotics has been widely studied because of its practicality and high performance, and recently low-cost robots have started to use this navigation technique. A cleaning robot is a good example. This study is focused on global localization of a cleaning robot and MCL, one of the...
In this paper, a novel image forensics method is proposed to detect manual blurred edges from a tampered image. Firstly, the image edges are analyzed by using non-subsampled contourlet transform. Then the differences between the normal edge and the blurred edge are extracted by researching phase congruency and prediction-error image. After that, the features are used to train the SVM, by which the...
In this paper, we propose logic processing to carry out in the directional edge space in order to establish multiple-resolution image perception in our VLSI perception system. In the con-ventional system, the resolution of input images is lowered by shrinking their sizes before edge ex-traction. However, in the human visual system, scaling of images for perception is carried out after the oriented...
To extract a more reliable cavity boundary from ultrasound images, a three step algorithm is presented in this paper. In the first step, we transform the ultrasound image into an appropriate feature space, in which the spatial distribution of the cavity inside the ultrasound images is represented. Next, morphological filtering is used to get an initial contour of the cavity. The initial contour is...
Extracting the breast region accurately from a mammogram is a kernel stage for the breast mass analysis. It significantly influences the overall analysis accuracy and processing speed of the whole breast mass analysis. This paper presents an algorithm to extract the breast region from a mammogram. The presented algorithm first combines the median filtering, the morphological erosion processing, Sobel...
In this paper, a voting-based intra deinterlacing method for directional error correction (VDD) is proposed, which can reduce false edge direction in conventional schemes. The VDD consists of four steps: modified M-ELA, majority voting, directional averaging and DOI (direction-oriented interpolation). Each step can preserve edge direction and minimize poor visual quality in high spatial frequency...
Facial paralysis commonly results in complete loss of voluntary movement on one side of human face. Before making treatment strategy doctors need to estimate the degree of paralysis. Previous work only used a few salient points to achieve the goal, whereas this paper proposes a new method to quantitatively estimate the paralysis degree based on comparison of multiple regions on human face. For each...
To avoid the large-scale damage caused by fire occurring in large space building, there are many studies about image-processing technique for automatic real-time flame detection. Adaptive Canny edge algorithm and flame geometric features are combined to inspect flame area of video data generated by an ordinary camera monitoring. Firstly, candidate fire regions are detected using modified Canny operator...
Interest points are widely used in computer vision applications such as camera calibration, robot localization and object tracking that require fast and efficient feature matching. A large number of techniques have been proposed in the literature. This paper evaluates the state of art techniques for interest point detection including execution time and suitability for real time applications. Such...
Part I of this two-part paper proposed a robust way to detect local points on linear-isophote surface in an image. Only a subset of these points corresponds to linear surface in image irradiance and provides useful information about the camera response function (CRF). In Part II, we show that, for some images, this subset of linear points could constitute a very small portion of the candidate set...
This paper presents a novel sub-pixel edge detection and center localization algorithm to improve the resolution and accuracy for micro-assembly systems. There are three steps to realize the algorithm. First the invariant moment is used to describe the feature of micro-parts and the edge of the micro-parts is extracted at pixel level by using Canny operator. Secondly, the image information of gradient...
In this paper a compact vision-based seam tracking system is designed for fillet joint. The main consideration in developing this system is its applicability and reliability. Thus programmable logical controller (PLC) is used as the controller and smart camera as the vision sensor. To get reliable image features, laser structured light is used. Besides its hardware structure, the image processing...
An efficient sub-pixel level edge detection algorithm for CT brain images is presented in this paper, which is based on Sobel operator, Zernike moments operator, and derived limited non-optimum suppression (LNOS) scheme. Sobel operator is firstly used to extract potential edge points in pixel level, and then Zernike moments operator, together with derived limited non-optimum suppression approach,...
Character recognition has been in importance for several decades. Lot of research interest are now focused on applying pattern recognition and computer vision algorithms on camera captured documents to retrieve information from the documents. This paper presents a novel approach for extracting text in camera captured images using edge based algorithm. Extensive experiments have been carried out on...
For the contour extraction from the images, the traditional active contour models may trap in local minimum and strongly depend on initial contour. A contour location algorithm based on active circle searching is proposed in this paper. A searching series of circles are used in locating the contour with fuzzy radius reduction and adaptive threshold. And the center of the active circles are also be...
This paper describes one valid framework of integrating intensity discontinuity and edge continuity for image Straight-line Extraction. First, multiple "edge contours" are traced out from digital image by means of classic LOG algorithm and contour tracing principle. In this step, Zero-Cross points are detected without implementing traditional "edge labeling" procedure and thus,...
An integrative structural feature extraction method for hair pieces detection is proposed using dyadic wavelet analysis. It considers the edge strength of the parallel boundaries simultaneously and the positions of the medial axes can be derived at the same time. An algorithm for calculating the direction of the medial axes points is also presented. After the discrete medial axes points being linked...
This paper presents a novel approach of license plate location. The proposed algorithm involves the following three steps. First, the vertical edges of the vehicle image are extracted by Sobel operator. Second, HSV color space and integral image are employed to locate candidates in yellow license plates and non-yellow license plates. Finally, connected component analysis is to locate the region of...
Many camera lenses, particularly low-cost or wide-angle lenses, can cause significant image distortion. This means that features extracted naively from such images will be incorrect. A traditional approach to dealing with this problem is to digitally rectify the image to correct the distortion, and then to apply computer vision processing to the corrected image. However, this is relatively expensive...
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