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Abdominal aortic aneurysm is a cardiovascular disease which occurs due to an abnormal weakening of the aorta wall. This failure in aortic wall causes the inner layer to be ruptured because of excessive blood pressure. Consequently, the blood flows into the space between lumen and epithelial, hence a thrombus is generated. On the other hand, excessive growth in the aorta diameter can lead to death...
As the global threat of terrorism continues to escalate, finding efficient ways to ensure the safety of the public is becoming a major concern for the authorities. This paper presents an investigation of scanning and detection of concealed weapons with possible applications in high risk areas like airports. Using a passive and non-intrusive scanning method like Infrared (IR) imaging, and combining...
In this paper, we present a feature-based cartoon system, which can generate a realistic cartoon face form an input picture. The cartoon face can be multi-style by using different cartoon template. The whole process requires little user interaction. The system consists of four components, ASM-based facial feature locating, cartoon texture mapping, ears adding and hair adding. The advantages of method...
In this paper, we describe an alphabet character recognition method based on the morphological analysis of characters. The method can be also applied to numerals. Recognition is successful regardless of the character's width, size and color. The constraint is that the method works only with standard upright fonts. The resulting character recognition algorithm is very simple and suitable for implementation...
In this paper, we propose a novel region grouping approach to shape matching. It is proposed as an alternative region based approach to the traditional edge based shape matching using distance transforms. It has the advantage of obtaining a higher detection rate and obtaining meaningful object segmentation simultaneously. Each image is first segmented into image regions, and possible matches are found...
This paper introduces certain innovative algorithms to mask pixel defects in image sensors. Pixel defectivity rates scale with pixel architecture and process nodes. Smaller pixel and process nodes introduce more defects in manufacturing. Brief introduction to causes for pixel defectivity at lower pixel nodes is explained. Later in the paper, popular defect correction schemes used in image processing...
Data Matrix barcode is one of the most extensively used 2D barcodes. During the flow process of Data Matrix barcode decoding, barcode localization is the first and non-trivial step for the latter steps, like affine transformation adjustment, fine-level foreground region extraction etc. In this paper, an innovative method for Data Matrix barcode localization based on boundary tracking and Radon transform...
The properties of terahertz (THz) radiation are well known. They penetrate well most non-conducting media; there are no known biological hazards, and atmospheric attenuation and scattering is lower than for visual and IR radiation. Recently we have found that common miniature commercial neon glow discharge detector (GDD) lamps costing typically about 30 cents each exhibit high sensitivity to THz radiation,...
Due to the prevalence of digital cameras, it is easy to retrieve digital images from the Internet. With the rapid development of digital image processing, databases, and Internet technologies, how to efficiently manage a large amount of digital images is very important. In this paper, we proposed a novel approach for automatic image annotation. We extract color, texture, and shape features from a...
In this paper a novel algorithm, called Counterpoint Harmony Search (CHS), is presented for the simultaneous denoising and deconvolution of binary images. No prior information about the noise or blur shape and size is required, which makes so called blind decon-volution of binary images possible using CHS. CHS is based on the Harmony Search algorithm and inspired by the island model parallel genetic...
The Hough transform is a feature extraction technique used in image analysis, computer vision and digital image processing. Usually it is used for detecting straight lines and curves. The purpose of the technique is to find imperfect instances of patterns within a certain class of shapes by a voting procedure. An improved Hough transform is proposed by using interval arithmetics in the accumulation...
In this paper, we propose a system that automatically detects and recognizes road signs found in the United States, in real time or close to real-time. The proposed system has application to intelligent autonomous unmanned vehicles for urban surveillance and rescue. It is a multi-layered hierarchical scheme composed of 3 parts: road sign color segmentation, shape recognition, and classification. The...
Mask inspection has become a major bottleneck in the manufacturing flow taking up as much as 30% of the total manufacturing time. In this work we explore techniques to improve the reticle inspection flow by increasing its design awareness. We develop an algorithm to locate non-functional features in a post-OPC layout with 100% accuracy without using any design information. Using this, and timing information...
Microcalcifications clusters are subtle signs of breast cancer and are very difficult to diagnose in the mammographic images because of their small size and low contrast with respect to the normal breast tissue. In this paper, we propose an automatic procedure for the identification of microcalcifications clusters to aid the radiologist in the detection of this kind of breast cancer signs.
Thinning is a process of reducing an object in a digital image to the minimum size necessary for machine recognition of that object. Efficient and reliable thinning of image patterns is essential to a variety of applications in the field of image analysis and recognition system. In this paper we propose two new iterative algorithms for thinning binary images. In the first algorithm, thinning is accomplished...
In recent years, intelligent vehicles and smart phones have become more and more popular. The traffic sign recognition system is one kind of driving assistance system (DAS) which is used to automatically inform the driver the traffic sign information by a head up display (HUD), monitor, or speaker device. Hence this system is helpful to reduce driver distraction to increase driver safety. In this...
This article introduces a traditional model for recognition of the merged-characters. It consists in modeling each sequence with the segmentation which is to cut the isolate items and the recognition which is to make the decision for accepting. In this paper we propose two algorithms based on this system model with one Kinematical Drop-Fall Algorithm for segmentation which could resolve different...
We report a two-dimensional (2D) pixel block scanning architecture for image segmentation by segment growing. This architecture can optimize processing speed, power consumption, and circuit area by modifying size and shape of the pixel block. Real-time processing can be maintained by using additional the two important techniques of (i) boundary-scan of the grown segment only, (ii) continued block-internal...
We propose a full-text search technique for image-scanned documents that does not recognize individual characters. The system is as fast as a full-text search of machine-readable documents. Such a system is important when working with historical handwritten manuscripts. The proposed method works independently of differences in language and font because it uses a new pseudo-coding scheme based on the...
Paper often includes pre-printed ruling lines to help people write more neatly. This particular example of real- world noise can have a serious impact on applications such as handwriting recognition and writer identification, however. In this work, we investigate the effects of ruling lines on writer ID. We study a method for detecting and removing ruling lines and test its utility for Arabic writer...
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