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Template matching is a widely used technique in many of image processing and machine vision applications. In this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to Rotation, Scale, Translation and Brightness (RSTB) changes. For this purpose, we adopt the idea of ring projection transform (RPT) of image. In the proposed algorithm, two novel suggestions...
Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing...
Simplified visualisation of the fuel spray developing process of varied ethanol content in an open spray by the liquid injection technique. For obtaining spray characteristics in the liquid, the visualisation principles were based on spray penetrations images. The video imaging and schlieren technique have been used to investigate the spray development and behaviours at different injection time defined...
We propose a new model to stylize lighting effects in 2D images. Our stylizations are based on well-known artistic styles ranging from Chiaroscuro to comics. Lighting has always been used in graphical art to give realism to an illustration or to enhance visual contrasts between objects in a scene. This allows creating a global atmosphere. Giving an input image, our model automatically generates a...
Nowadays there exists a large variety of aspect ratios used for both image rendering (e.g. print media, TV, cinema screens etc.) and image acquisition devices (e.g. still and video cameras, scanners etc.). In order to maintain the image's original aspect ratio when adjusting for a different media, some level of cropping may be required, but the automatic zoom and crop method may not produce satisfactory...
Many research teams have studied to make the blind see by stimulating the retina cells using electrical devices. But due to the limited number of electrodes, it needs to complement low resolution with image processing. In this paper, we tried to find the effect of image processing, especially with contrast enhancement (CE) technique. We investigated face recognition performance with three different...
Advances in technology continue to make both hardware and software affordable and accessible; we have seen a rapid growth in computer vision and image processing applications. One area of interest in vision and image processing is automated identification of objects in real-time or recorded video streams and analysis of these identified objects. An important topic of research in this context is identification...
Filtering is an essential step to image processing, at present, a lot of filtering algorithm will damage the detail information of an image when they were used to remove noise that distribute over the image, in such circumstances, attaining an ideal effect is very difficult. The improved filtering algorithm based on gray correlation degree makes use of gray correlation analysis to find out random...
Visual saliency is a well-known image processing technique based on theory about visual attention of human beings. Several proposed computing approaches based on findings in psychological and neurological researches about the part of human brain area in charge of visual attention. Contrast to those methods, in this paper the information theory is recommended as backbone for a new approach of building...
Image Matching is a fundamental tasks in image processing used to match two or more images, for example, at different time, from different viewpoints, Registration is the foundation of many image processing and applications such as object recognition, change detection, 3-D modeling. The paper researches Image Matching based on characteristic point, such as Harris Operator, and introduces corner point...
In underwater situations, clarify of images are degraded by light absorption and scattering. In order to restore the original clarity of the images underwater, we analyze the physical effects of visibility degradation, and present an algorithm which inverts the image formation process. In this paper, we consider the visibility restoration from a single underwater image as a particular filtering problem...
Edge detection is very important in image process. According the three standards in edge detection: optimal detection result, optimal location and low repeat response, optimal linear filter is deduced. Base on the standards, a simple BMP edge Detection algorithm is proposed, improved algorithm and color scope D algorithm are given. Experiments prove that running speed of algorithms is satisfied and...
Morphological filters are often implemented using a series decomposition. This paper presents a parallel decomposition that is able to exploit separability. By maximising the reuse of hardware between the parallel filters, a novel computationally efficient filter structure may be derived. Results show that such filters may be implemented on a Virtex-5 FPGA with pixel clock rates approaching 1 GHz.
Edge detection is the most basic problem in the process of image processing. The precision of traditional edge detection algorithm is not very high, it unable to meet the high precision need of modern industrial test technology. In order to overcome the deficiency, this text proposed sub-pixel edge detection algorithm based on the function curve fitting-Gauss fitting of gradient direction sub-pixel...
Foot measurements play an important role in the design of comfortable footwear products. This study proposed a non-invasive and efficient means to obtain foot measurements from 2D digital foot images. The hardware of the proposed image-based measuring system was easy to set up and the developed measuring system was tested for 9 foot measurements with ten male subjects who were also manually measured...
A grading system was developed to classify chestnut automatically into various grades of quality in terms of size. The chestnut is scanned with a color charge-coupled-device camera and then the size is extracted by image processing. In the image processing there are two kinds of algorithm, one is the minimum enclosing rectangle (MER), and the other is the distance between centroid and border (DCB)...
The old documents in Jawi script are being used widely for references. The hard copies of those scripts will deteriorate as time passes. Most of the previous works on Jawi documents focused on the character recognition and the accuracy of the algorithm was very much affected by noise. An effective preprocessing method is required to binarize degraded Jawi document. In this paper, a new technique to...
Impulse noise removal is a very important preprocessing operation in many computer vision applications. This paper presents a low-complexity noise removal based on a conditional technique and outlines its FPGA implementation for window sizes of (3×3) and (5×5). As the experiments show, the proposed technique performs significantly better than standard median filter and achieves superior image quality...
Change detection in images of a given scene acquired at different times is one of the most interesting topics of image processing. A new change detection method based on 2-D fuzzy entropies is proposed in this paper to detect change area of the difference image. First, the best segmentation direction of 2-D histogram formed by pixel gray levels and the local average gray levels is found by using Fisher...
In this paper we describe an image-based rendering pipeline for interactive real-time Free Viewpoint Television (FTV) on embedded systems. Description of the processing steps and optimizations implemented targeting the hardware acceleration of a commercial programmable Graphics Processing Unit (GPU) is given. As a result, real-time view synthesis at 70 fps in XGA resolution has bee achieved. Restrictions...
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