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In order to decrease impact of noise caused by nanometer devices and cosmic radiation in image processing area, stochastic computing system is proposed as a high fault tolerant computing structure. Implementation of image averaging is used to illustrate the advantages of stochastic computing, and both traditional computing architecture and stochastic computing architecture are implemented with TSMC...
The quality of an image is highly critical for applications such as robotic vision, surveillance, medical imaging, etc. The images captured in real-time are seldom noise free and therefore require noise removal for further processing. Out of several proposed noise removal schemes, an isotropic diffusion filtering is known to achieve highly precise results. However, the accuracy comes at an expense...
This thesis makes analysis through digital image processing, in which methods such as Median Filtering Noise Reduction, Sectoring Threshold Segmentation, Logical Values Match and so on are put into use to process the digital image data of barcode and to implement its fast identification. Automatic identification technology of barcode has the advantage of low cost and has been being widely used in...
This paper presents a novel data-adaptive anisotropic filtering technique built on top of an iterative scheme. This new technique can preserve the original significant structures while suppressing noises to the largest extent. To achieve this goal, dominant orientation information of all gradients is used to control the local kernel adaptively. This results in elongated and elliptical contours spread...
The difficulties faced by hearing and speech impaired people in communicating with others and among themselves can be easily overcome by building an assistive communication system. This real time communication system enables differently impaired people to communicate among themselves without an intermediate human translator. The proposed system is a potential human-computer and computer-human interaction...
In dice recognition, there are several situations which may cause dice image identification problems including that camera zooming in, zooming out, the pip sizes become irregular. In this paper, we adopt a pattern comparison method to develop an intelligent dice pattern match ration that can achieve accurate dice recognition. After over 200 test images that include different shapes, styles, size and...
According to the cursive code and leakage code defects of VFD characters display, This article proposes a new defect detection method. Firstly, we make use of pre-processing to original image. Then using binary morphological processing before recursive region growing method to mark the connected domins labeling. Finally calculate count of the VFD character display defects. According to the number...
Manufacturing process variations (PV) of transistors in the deep-submicron regime present the single biggest design challenge for large die size VLSI circuits such as processor arrays, GPUs, and FPGAs. However, there are a few applications in signal processing, such as image processing, and speech processing, where errors in computation by the underlying hardware could be tolerated or corrected off-line...
The aim of this paper is to hardware description and implementing of adaptive digital one- dimensional (1-D) and two-dimensional (2-D) Finite Impulse Response (FIR) filters on Field Programmable Gate Array (FPGA) technology. The 2-D adaptive filter is particularly employed for image processing applications and a typical adaptive image noise cancellation application is considered. The delayed least...
Every year, one million people dies from Hepatitis B virus. As for other viruses, its genetic material is enclosed by a capsid whose segmentation and classification is essential. In this paper, we present a novel capsid segmentation technique which is a combination of a “à trous” wavelet process (for background filtering) and a graph-based structure (for segmentation and classification). Capsids were...
CAPTCHA has been widely used for preventing malicious programs to access web resources automatically. In this paper, a new type CAPTCHA system will be proposed. The proposed scheme, named Click spell, combined the features of text-based and image-based CAPTCHAs. Click spell asks users to spell a randomly chosen word by clicking distorted letters for passing the test. Users can learn the definition(s)...
Principal component analysis (PCA) (also called Karhunen - Loève transform) has been widely used for dimensionality reduction, denoising, feature selection, subspace detection and other purposes. However, traditional PCA minimizes the sum of squared errors and suffers from both outliers and large feature noises. The L1-norm based PCA (more precisely L1,1 norm) is more robust. Yet, the optimization...
Noise will lead to serious blurred and distorted weather facsimile chart, which will be an obstacle for the ship driver to obtain accurate meteorological information and make right decisions. And it is not good for the safety of navigation. Therefore, this paper establishes anisotropic noise reduction model, uses three kinks of edge stopping functions to control image diffusion speed and then performs...
Plastics are used in a truly vast number of applications, and research is continously carried out to improve every aspect of the plastics industry. A recent study of laser transmission welding [1] required cross-sectional images of the weld's microstructure to be analyzed for the presence of pores, which are tiny bubbles that may form during the weld process. It is believed that the number and size...
The study has proposed a novel and innovative system that uses image processing techniques for converting an imprinted Braille pattern into natural language character. The processing takes place through a series of steps implemented in MATLAB. The major step is the removal of noise from the scanned image of an imprinted Braille pattern and other artifacts and then segmenting the scanned image to yield...
In this paper, we exploit some global shape properties in an efficient shape matching and retrieval method, which is robust with respect to rigid transformations (translation, rotation, scaling) and some deformations. The retrieval of similar shapes is obtained by normalizing the query shape and the database shapes using the area, the center of mass and the minimum bounding box. Then, an alignment...
In this paper a subspace based technique is proposed for removal of additive white noise in images. The method is based on Time-Domain constrained (TDC) estimator in which the residual noise energy is kept below a threshold while minimizing the signal distortion. The denoising technique employed prewhitening method prior to the subspace filter which is proven to give remarkable results. Experiments...
This paper describes visualizing sound pressure distribution by combining microphone array processing and camera image processing. In microphone array signal processing, capturing a sound at desired position is achieved by Delay and Sum Beam Forming (DSBF). In camera image processing, taking information of 3D position is achieved by triangulation method with stereo camera. We calculate sound level...
Crack detection is crucial for safety and cost-effective maintenance of concrete structures. Researchers have proposed several methods based on machine vision techniques to inspect the cracks on the bottom surface of concrete bridges, such as Fujita's method. However, it is difficult to obtain high-quality images and image processing results because of complex environmental and light conditions under...
In this paper, a SystemC-based hardware/software co-design methodology for embedded image processing system is presented. With the development of the IC process, traditional design methodologies cannot meet the requirement of complex digital image processing systems. Hardware/software co-design is the new solution for designing embedded system. SystemC is promoted by the Open SystemC Initiative, which...
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