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There are a lot of existing studies in the field of plate detection. However, most of them focused on using still images and only a few have applied the process on video streams. This research proposes to automate the plate detection process by the use of intelligent transport system through image processing techniques such as edge detection and contour matching. The region of interest of the vehicle...
Due to energy efficiency, heterogeneous computing is gaining more and more attention. Since FPGA implementations are time consuming, high-level synthesis (HLS) is used to close the productivity gap. OpenCL has become accepted as a good programming model for HLS, due to its portability, good capability of design verification and rich instruction set. This work implements different optimization strategies...
A routing graph allows to find paths in buildings quickly. Raster images of floor plans are simple to obtain but display poor performance. A manually constructed graph is quite optimal if designed by an informed person, but the process is time consuming and expensive. We describe a fast method to calculate a 2D routing graph from raster images. We adapt image processing techniques and apply a conditional...
An architecture capable of performing the inverse Tone Mapping to convert a Low Dynamic Range image into a High Dynamic Range one is proposed. The proposed image processor is specifically designed for a Field Programmable Gate Array implementation. The design exploits the presence of specific blocks in the Field Programmable Logic board, dedicated to the implementation of memories, in order to develop...
A new Application Specific Image Processor for the enhancement of the dynamic range of medical images is presented, capable to process images at different resolutions up to 4K. An algorithm has been derived, adapted and tailored for the specific hardware design, in order to adapt the complexity of the processor to required performances or to constraints of different field programmable platforms. The...
In this work, we design a set of complete orthonormal optimal basis functions for signals defined on the ball. We design the basis functions by maximizing the product of their energy concentration in some spatial region and that in some spectral region. The optimal basis functions are designed as a linear combination of space-limited functions with maximal concentration in the spectral region and...
The given work describes a new technique of image segmentation, in particular for building detection on radar or infrared Earth-observation images. The method is based on property of most man-made objects which consist in straight edges and mostly right angles. The developed 2D adaptive image filter assists to detect straight edges even if given image fragment has a low contrast and has been extremely...
In this paper, hardware implementation of edge detection at real time video signals using Sobel, Robert, Prewitt and Laplacian filters based on FPGA is explained. Besides, filters are compared in many ways. Edge detection is an elemantary and fundamental tool for image segmentation and feature extraction. Very high speed hardware like FPGA's are used to implement the image and video processing algorithms...
We propose an eigenvalue shrinkage method with a modified Chebyshev polynomial approximation (CPA). The eigenvalue shrinkage has been used in many fields of signal and image processing. However, the shrinkage takes enormous computation time especially in the case that a matrix constructed from a signal or image becomes very large, i.e., eigendecomposition can hardly be performed. The CPA is an approximation...
The bilateral filter (BF) is a prominent tool for adaptive, structure-preserving image filtering. It can be interpreted as a graph-based filter, where the nodes of the graph correspond to image pixels and link weights correspond to filter coefficients. Graphs associated to BFs of typical sizes used in practice are very dense. In this paper, we propose an efficient method for constructing a sparse...
This paper deals with Optical character recognition (OCR) for Odia handwritten Characters which deserves more attention from the researchers. In the proposed method, an existing database has been studied. First of all the images are preprocessed. Then the preprocessed images are used for feature extraction. Features are extracted using two simple yet powerful algorithms like shadow feature algorithm...
The problem of image contrast enhancement was considered. The histogram-based method for image contrast enhancement in automatic mode on the basis of the contrast distribution function at the boundaries of image elements (objects and background) for the different definitions of contrast kernels is proposed. A comparison of the proposed and known histogram-based methods of image contrast enhancement...
Passive millimeter-wave images (PMMW) often suffer from issues such as low resolution, noise, and blurring. In this paper, we proposed a blind image deconvolution method for the passive millimeter-wave images. The purpose of the proposed method is to simultaneously solve the point spread function (PSF) and restoration image. In this method, the data fidelity item is constructed based on Gaussian noise...
In this paper, the proposed implementation of a soft-biometric system for automatic age detection from facial images is described. In order to do this, the method followed was that of a classical biometric system. The first step is preprocessing, to enhance the feature extraction. The next step is the parameterization, where techniques like wavelet transformed, discrete cosine transformed or local...
Image classification is one the important processing done on satellite images. Many algorithm are proposed for such classification of which Support Vector Machine (SVM) is mostly used. Many variants and approaches of SVM are proposed of which GA based classifiers shows better prospects. But increasing size, spectrum and multiple dimension of remote sensing data has made image processing problem more...
The development of Advanced Driver Assistance Systems (ADAS), such as pedestrian detection, requires real-time update rates at high image resolution. Hopefully, heterogeneous architectures with high computing performance have been developed for this purpose. To benefit from this hardware performance, different programming languages and acceleration frameworks have been developed. OpenVX framework...
This paper deals with the Automatic Deep Understanding (ADU) of technical documents. Here we present a synergistic collaboration between two different modalities, a natural language text understanding (NLU) method and a diagram-image extraction & modeling (DIM) one for the deep understanding of technical documents. In particular, the NLU extracts the text from the document and determines the associations...
Edge detection technique serves as a preprocessing step for many IMAGE PROCESSING algorithms such as image enhancement, image segmentation, tracking and image/video coding. The edge detection is the heart of all the stages in image processing and object recognition. EDGE DETECTION is a basic operation in image processing, which means the process to identify and locate sharp discontinuities in an image,...
Because the contrast of the image for guiding the high-speed infrared air-to-air missile is low, its signal to noise ratio is poor and the target and its background gray-scale coupling is strong, the paper analyzes the reasons why the threshold value segmentation method and the fuzzy C-means clustering method have the over-segmentation and under-segmentation in segmenting the above type of image....
High-level understanding of image contents has been receiving much attention in the last decade. Low level processing figures as abuilding block in this framework and it also continues to play an important role in several specific tasks such as in image filtering and colorization, medical imaging, and document image processing. The design of image operators for these tasks is usually done manually...
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