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This paper presents a vehicle collision avoidance method and it is associated with the exploitation of multiple features based on the AdaBoost classifier result. The proposed system will enhance the precision rate and accuracy of vehicle detection from 72% to 96% using an AdaBoost detection method extracting multiple features in vehicle detection and false alarms are reduced.
This paper represents a new and intelligent system for license plate recognition used in many cases, for example: unattended parking lots, security control of restricted areas, traffic law enforcement, congestion pricing, and automatic toll collection. The proposed system is a process based on a combination of the complement methods that increases the accuracy of output data and is generally accountable...
Road network detection is the process of detecting and extracting the road network from very high resolution satellite and aerial images. It is essential for many applications like map generation and updating. To do this road network detection, resolution of satellite and aerial images plays an important role. If experts try to label the road pixels manually, it will take more time and will lead to...
Edge detection is an important task in image processing and becomes more complex for the colour image which provides more information in comparison to the gray image. In this paper it will be presented a colour edge detection approach based on the product of multiscale wavelet transform. The use of the product of multiscale transform improves the localization of detected edges comparing to the one...
In the food industry, automatic inspection of key ingredients as well as end products is gaining attention. Automatic detection of unhealthy ingredients on early stage of food production is becoming a vital task. In this paper, feature extraction of raw food ingredient's x-ray images and their classification is presented. X-ray images of pine and pistachio nuts are used as samples for this purpose...
The presence of both graphics and scene text in video frames makes text detection and recognition problem more challenging because the nature of the two texts differs significantly. This paper aims to propose a novel method for separation of graphics and scene text to achieve good recognition rate based on the fact that Canny and Sobel edge pattern share common property for text. We propose to use...
This work presents a binarization technique of map document images. It exploits an amalgam of global and local threshold approaches best suited for binarization of document images with complex background and overlapping objects in the foreground like maps. The proposed approach uses Distance Transform (DT) and Adaptive threshold. Initially a rough estimate of the map background is done using Distance...
Non-contact metrology systems are gaining popularity as the micro products industries are establishing to meet high level of demand. Precision micro products are used in the fields of electronics, computer, medical and aerospace systems. So far, the production technologies are well advancing in the form of lithography and non-lithography based techniques. But, the dimensional inspection at micro-meso...
Historical Chinese document recognition technology is important for digital library. However, historical Chinese character segmentation remains a difficult problem due to the complex structure of Chinese characters and various writing styles. This paper presents a novel method for historical Chinese character segmentation based on graph model. After a preliminary over-segmentation stage, the system...
This paper deals with the influence of global and local objective image parameters of the analyzed image on the process of finding corresponding points. We examined the impact of objective parameters on the usability of some significant point detectors. Moreover, the paper also contains the comparison of the reliability of finding corresponding points for a particular image point by using common methods...
In this paper, we describe a novel and simple technique for prediction of OCR results without using any OCR. The technique uses a bag of allographs to characterize textual components. Then a support vector regression (SVR) technique is used to build a predictor based on the bag of allographs. The performance of the system is evaluated on a corpus of historical documents. The proposed technique produces...
Video fingerprinting represents a content-based identification method wherein feature extraction is prominently used in order to verify the authenticity of a video stream. Most of works focus primary on the robustness of the fingerprint key only. However, with the advancement of technology where video content is often uploaded/downloaded at an amazing speed, there is high need of fast key generation...
This paper presents a robust method for license plate localization (LPL). Basically, the performance of LPL directly affects the accuracy of License Plate Recognition system. Although many studies had been conducted on LPL systems, many of them only discuss on license plate (LP) from countries that have restricted and distinguished LP types in terms of shapes and fonts. In this paper, a novel LPL...
In this paper we present a scheme to reduce the amount of user iterations required to segment an object by delineating on cross-section planes. Starting with an initial segmentation created from a small number of delineated curves, the algorithm progressively analyzes the uncertainty of segmentation with respect to the image features and suggests the “next plane” for delineation that would maximally...
In this paper, we introduce an extension to the random walker image registration method designed to increase the speed at which a registration is performed. Our method involves precomputing data from one of the images being registered while anticipating the acquisition of the second image, and then using this precomputed data to approximate the final transformation once the second image becomes available...
The flower recognition system based on image processing has been developed. This system uses edge and color characteristics of flower images to classify flowers. Hu's seven-moment algorithm is applied to acquire edge characteristics. Red, green, blue, hue, and saturation characteristics are derived from histograms. K-nearest neighbor is used to classify flowers. The accuracy of this system is more...
Computer-aided diagnosing (CAD) and computerassisted surgery (CAS) systems for spine and intervertebral disc (IVD) necessitate highly speed, minimal memory usage and accurate segmentation system because such system has a direct impact on spinal disease diagnosis and surgical planning. An unsupervised edge-based IVD segmentation system is proposed and validated on eight different lower back pain patients...
Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. Finding good biometric methods has been researched extensively in recent years. Among several biometric features, ear is quite stable because it does not vary with age and emotion. The ear recognition works based on the height of the ear, reference line cut point and corresponding...
In this paper, indoor environment classification and interpretation algorithm is proposed. Proposed algorithm needs low computation power and low payload thus enabling micro air vehicle (MAV) to quickly react and navigate. Here indoor environment is classified into corridor, staircase, and open space by using image edge gist descriptors and a neural network classifier. Use of some predetermined thresholds...
In this paper, we propose a flow propagation algorithm (FlowPro) that finds the community of a node in a complex network. The novelty of the proposed approach is the fact that FlowPro is local and it does not require the knowledge of the entire graph as most of the existing methods from literature. This makes possible the application of FlowPro in extremely large graphs or in cases where the entire...
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