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In order to quickly and exactly extract the subpixel image edge, a new method of subpixel image edge based on Fourier-Mellin moment is proposed. Firstly all possible edge points were detected quickly with using Fourier-Mellin moment operator with mask size of 3×3, secondly a Fourier-Mellin moment operator with mask size of 7×7 was used to relocate the edge with subpixel accuracy. Experiment results...
Melanoma can be cured if it is detected early, so early diagnosis is very important in dermatological practice today. Early and non-invasive diagnosis of melanomas can be done by accurate image segmentation of skin lesions. The medical images, while acquisition are generally bound to contain noise. This paper proposes a robust and efficient image segmentation algorithm using LOG edge detector to extract...
Vehicle license plate identification system is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. This data is also used for enforcement, data collection, and can be used to keep a time record on the entry or exit of vehicles for automatic payment calculations. The significant advantage of this system...
Edge of image is one of the most fundamental and significant features. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. With the continuous improvement of remote sensing image, especially the appearance of Digital Aerial Image, edge detection is necessary step to extract information...
Human heart anatomy is the study of morphological structures and relationships between morphological structures. Hence such a study when visualized in the form of a two dimensional atlas can hold strong interactive sessions between doctors and medical students. Atlas is a visualization technique developed for understanding the morphological structures of a human body. Interacting directly with morphological...
With the development of the Broadcasting and Video network, the Monitoring System on Digital Video Broadcasting is becoming more and more important. Image recognition technology is widely applied to detect the degraded video in the television observation system. Mosaic block easily occurs in the TV signals, which will degrade the video quality. The conventional mosaic detection algorithm can't distinguish...
Centerline extraction is widely used in medical image processing. It can benefit applications such as building the connectivity map of neurons from microscopic images as well as examining retina vessels for preventing blindness. Many methods have been developed to extract centerlines from 2-D images. An algorithm based on 2-D rapid tensor voting is proposed in this paper. This method uses the Canny...
In fluoroscopic tracking for fractured femur bone fixation, a precise identification of the femoral head provides valuable guidance for positioning the implant instruments such as nails and screws. Noise, occlusions and weak edges challenge the task of automatically segmenting the femoral head. In this paper, a fast and fully automated method to precisely delineate the femoral head in fluoroscopic...
A self-adaptive canny operator was developed to detect edges of growing citrus images. RGB color images were obtained and linear transformed into R-B chromatic aberration space at first. In R-B space, width of Gaussian filter fast calculated using integral images and the high and low threshold values obtained by OTSU algorithm were extracted to improve automatic edge detection. It is shown that the...
Iris localization is an important step in iris recognition system and performance of the recognition system depends on the accuracy of the localization. In this paper, we have proposed an iris localization method. Here, we identify both outer and inner circular boundary of the iris. The present method has two basic steps: edge points detection and circular Hough transform. Before applying these steps,...
Mathematical morphology is widely used in the area of signal and image analysis. It has enormous applications in detection of weak targets, object recognition and feature extraction, edge detection, image enhancement and many more. However, its use has long been hampered by its algorithmic complexity as the size of the structuring element or image grows. With the trend toward larger images and proportionally...
This study proposes an algorithm where edge shape information is retrieved using a vote based rearranged chain code. The proposed algorithm rearranges and normalizes the chain code of edges to create a maximum vote based normalization chain code whose correlativity is reinforced. As it obtains cyclical maximum values from the chain code, rearranges them and flips code values according to the frequency,...
An automatic lips contour detection and tracking using an enhanced snake model and modified H∞ is presented in this paper. For the conventional snakes, the resultant contour would be converged wrongly if the initial snake point is situated far from the lip edges, or with the existence of the tongue and teeth. Consequently, a new external force based on watershed approach is proposed and absorbed into...
In this paper, a method combining PnP and OI algorithms is developed to measure the pose of a humanoid robot in high precision in order to play table tennis. The PnP-based algorithm is employed to obtain the rough pose, which is taken as the initial value of the OI algorithm. The OI algorithm optimizes the result in order to ensure the orthogonal orientation matrix of the pose. Considering the real-time,...
In this paper we present a morphologic edge detector using multidirectional structuring element approach for detecting edges of complex images under noisy condition. The experimental results show that the proposed edge detector has the desirable properties that a good edge detector should have. Comparative study reveals its detection performance exceeds conventional edge detectors and other morphologic...
Image segmentation is a technique used to segment region of interest (ROI) in the image for further image processing applications. Contour extraction is one of the most important image segmentation methods. In this paper, a contour extraction method is proposed, which consist of two stages. The first stage is automatic initial edge point selection (IEPS), and the second stage is segmental contour...
This paper is concerned with the detection of road paths and drivable surfaces in different images under non-uniform light condition using simple coordinate logic filters. Road images taken in the campus have been used to test the algorithm. First the image samples are segregated into different segments depending on the intensity. Subsequently coordinate logic detectors are applied to extract the...
In this paper we present a novel noise reduction method using Coordinate Logic (CL) filters applied to printed text and handwriting images. CL Filters and their associated Coordinate Logic Operations (CLOs) are widely used in common practical image process applications like noise removing, magnification, opening, closing, skeletonization, coding, edge detection, feature extraction, and fractal modeling...
In this paper, an improved ant colony optimization based approach for image edge detection is proposed. The algorithm use ant colony clustering approach to extract edge feature. The approach set the heuristics information function and the initial cluster, thus avoiding the search blindness which carried out by traditional ant colony algorithm. And a series of simulation experiments demonstrate the...
Road detection is the most fundamental part of autonomous vehicles. Noises caused by shadows and vehicles on the road have a great negative impact on the road detection. Our method improves the performance under the noisy environment by taking advantage of color information to determine the road curvature. A novel geometrical method is proposed in this paper to select the most matched curvature. A...
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