Estimator algorithms rely on assumed laser stripe image profile to determine its peek with sub-pixel accuracy. They depend on light intensity readings around the peak and are susceptible to noise and saturation. Noise...
详细信息
ISBN:
(纸本)9781509018987
Estimator algorithms rely on assumed laser stripe image profile to determine its peek with sub-pixel accuracy. They depend on light intensity readings around the peak and are susceptible to noise and saturation. Noise and stripe intensity models are commonly used to synthesize and feed test data to estimator algorithms in order to evaluate their accuracy and robustness. For real-time 3D scanning applications estimator algorithms are expected to prefer less computationally demanding estimation techniques. Simple and accurate models of empirical noise and laser stripe profile could be used to improve testing and algorithms accuracy. Modular test setup for 3D scanning is utilized to project a laser stripe on the target with patterned surface. Laser stripe image is captured and processed to extract noise and surface pattern interference. Laser power modulation is used to generate series of captures with various stripe intensities. Captures are partitioned, analyzed and presented according to target surface properties and color channels. image noise interfering with sub-pixel peak detection is analyzed and noise model based on empirical data is proposed. Empirical laser stripe images are analyzed and novel simple laser stripe intensity profile model conforming to empirical data is proposed.
The way how we interact with banknotes is changing. This raises questions on how we interact with electronic payment systems. The general idea is to design low-cost electronics for cash handling systems. We establish ...
详细信息
ISBN:
(纸本)9781509013159
The way how we interact with banknotes is changing. This raises questions on how we interact with electronic payment systems. The general idea is to design low-cost electronics for cash handling systems. We establish a prototypical demonstrator which allows a consistent image capture quality and is able to handle complex algorithms for banknote authentication on cost-effective hardware. Therefore, tasks regarding reducing the evaluation time, without diminishing the reliability of the algorithms have to be considered. In this contribution we focus on the re-design of an authentication module for detection of commercial offset printing. This module analyses images in view to periodic printing patterns by means of the Discrete Fourier Transform (DFT). We propose to implement two concepts: an adaptive software architecture for DFT and parallel imageprocessing. The re-design reduces evaluation time, without compromising the reliability of the authentication algorithm.
This REU project estimates the reference wave intensity needed by two-step-only quadrature phase shifting holography for 3D object recording and reconstruction, and implements digital holographic image reconstruction ...
详细信息
ISBN:
(纸本)9781509015412
This REU project estimates the reference wave intensity needed by two-step-only quadrature phase shifting holography for 3D object recording and reconstruction, and implements digital holographic image reconstruction algorithms on a GPU to meet the real-time processing requirement. The performance on various image sizes is measured and compared between GPU-based and CPU-based implementations. The results show that using GPU to accelerate two-step-only quadrature phase-shifting digital holography can provide significant speedup.
Resolution of goniometric systems on the basis of antenna arrays can be increased due to the secondary digital processing of the accepted signals. Necessary algorithms are created on the basis of solution to inverse p...
详细信息
ISBN:
(纸本)9781509025039
Resolution of goniometric systems on the basis of antenna arrays can be increased due to the secondary digital processing of the accepted signals. Necessary algorithms are created on the basis of solution to inverse problems.
The essential constraint on the input images to any computer vision technology is its quality. Acquiring noise free digital images is a challenge as it depends on several factors. Developing algorithms to remove noise...
详细信息
ISBN:
(纸本)9781467392075
The essential constraint on the input images to any computer vision technology is its quality. Acquiring noise free digital images is a challenge as it depends on several factors. Developing algorithms to remove noise is one way to improve the image quality. Salt and pepper noise degrades the image. The challenge here is to restore the lost information without distorting the edges. This paper introduces a new algorithm that reduces high density salt and pepper noise from images. Restoration is done by calculating the weighted mean of the nearby pixels. Weights are assigned unsymmetrically to pre-processed and unprocessed pixels. The quality was judged based on the PSNR value. The algorithm restores information for highly corrupted images. Salt and pepper noise are usually filtered with variants of the median filter. This paper provides an alternate way for noise reduction.
In this paper, we propose an improved heterogeneous atmosphere light estimation method and a novel depth estimation algorithm with Color Attenuation Prior (CAP) to dehaze single image. Firstly, it estimates the atmosp...
详细信息
ISBN:
(纸本)9781509025275
In this paper, we propose an improved heterogeneous atmosphere light estimation method and a novel depth estimation algorithm with Color Attenuation Prior (CAP) to dehaze single image. Firstly, it estimates the atmosphere light with mean-pooling on the illuminance component from HSV color space. The estimated atmosphere light is more robust because of its independence of a specified pixel. Secondly, the scene depth is estimated by a nonlinear CAP model which can overcome the defects of the occurrence of negative scene depths from the linear CAP model. Experimental results demonstrate that the proposed algorithm outperforms the state-of-the-art methods in dehazing images.
The electronic bed systems used in hospitals, health care centers are used for disabled patients, paralyzed persons, in accident cases and for old age people. The available existing electronic bed systems have only tw...
详细信息
ISBN:
(纸本)9781509008506
The electronic bed systems used in hospitals, health care centers are used for disabled patients, paralyzed persons, in accident cases and for old age people. The available existing electronic bed systems have only two movements of the bed such as front and back. If the patient wants to move to his right or left side, then there is always the necessity of caretakers to help patients to change their positions. So, to minimize the caretaker's requirement and to increase the comfort level of the patient, we have proposed a bed system in which right and left movements are added to the existing electronic bed system. In this case the position of the bed is controlled automatically by using hand gesture recognition. The system consists of the imageprocessingalgorithms which includes background subtraction to identify the difference between background image and the current image. The shape feature extraction using wavelet decomposition is used to extract the features of segmented image and Euclidean Distance (ED) is used as classifier to classify different gestures. The output of the classifier can be given to micro-controller to drive two motors to have four different positions of the bed.
With the deepening of automation of electric network management in our country, more and more substations are equipped with video monitoring system and various alarm systems to realize unattended operation. Therefore,...
详细信息
In this study, an image segmentation algorithm for processing Next-Generation Sequencing (NGS) fluorescence data is proposed. In NGS applications, fluorescent spots are randomly distributed, the number of spots is lar...
详细信息
ISBN:
(纸本)9781509015719
In this study, an image segmentation algorithm for processing Next-Generation Sequencing (NGS) fluorescence data is proposed. In NGS applications, fluorescent spots are randomly distributed, the number of spots is large, and the sizes of these spots are small. All the characteristics make the conventional segmentation algorithm not as efficient. To speed up the segmentation process, we propose a hardware-compatible algorithm, Step Shift, and implement an ASIC design for hardware acceleration. When compared to the software version of Step Shift method, our hardware accelerator can reach 9.2 times speed-up in the experiments.
In this paper, we propose a novel scheme for image restoration (IR) employing a sequential decoding technique based on a tree search, known as Stack algorithm. The latter is a well-known method used for ID signal deco...
详细信息
ISBN:
(纸本)9781509018918
In this paper, we propose a novel scheme for image restoration (IR) employing a sequential decoding technique based on a tree search, known as Stack algorithm. The latter is a well-known method used for ID signal decoding in wireless communication systems. The main idea is to extend the Stack algorithm for image restoration (2D) and to exploit the information diversity conveyed by the channels (Multichannel) in order to restore the original image. To deal with the noisy case, a regularization term is introduced using the total variation and the wavelet transform. This method was tested on artificially degraded images (blurred and noisy). Obtained results confirm the relevance of the proposed approach.
暂无评论