The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we presented a new approach for speckle noise removal based on the combination of the trilateral filter and stationary wavelet transform. The main contribution of this paper is the integration of a new robust weighting factor into the bilateral filter, to develop a new multi-scale version of the trilateral filter. The experimental results prove the performance and the effectiveness...
In Intermediate Significant Bits (ISB) model, the watermarking technique was shown to be made robust against different types of attacks with maintaining the quality of watermarked images. In addition, ISB model was found to work properly with many other techniques based on the Least Significant Bits (LSB). In this paper, two improvements approaches were suggested to make the system more robust, both...
Detection of Shot boundary is the fundamental step in the video analysis. In many applications such as video indexing, summarization and retrieval, shot boundary detection plays a major role. It serves as a preliminary step to construct the content of videos. Boundary detection involves identification of frames at which the content of scene is significantly different. In this paper, an integrated...
The task of accurate detection of motile objects is of fundamental importance in surveillance systems. Currently, there are myriad of motion detection algorithms available for video surveillance systems, and the most prominent algorithms are based on Background Detection, Optical Flow and Edge Detection methods. However, every algorithm has some shortcomings. The given paper proposes an algorithm...
This contribution describes a system for accurate, robust and fast six degrees-of-freedom object pose estimation based on multi-feature models and a recursive filtering approach in the context of autonomous vehicle recharging. Feature measurements are integrated sequentially to allow full control over the feature detection algorithms and the influence on the estimate. This makes the system able to...
Conventional unsupervised image segmentation methods return many superpixels or object parts and thus tend to over-segmentation. In this paper, we present a novel post-processing approach for unsupervised object-level image segmentation (UnOLIS). Starting with the results of any conventional unsupervised segmentation method, we first combine a global region-based saliency and a robust background feature...
In this paper, we propose a keypoint selection scheme for SIFT and KAZE features and demonstrate their effectiveness in object characterization. The selection criterion rely on the detectability, distinctiveness and repeatability of the keypoints. These scores are combined to give a keypoint saliency score. The keypoints are ranked according to their saliency values and weak/irrelevant keypoints are...
The development of the World Wide Web has not only facilitated the digital data processing and transmission but also has led to ease the illegal distribution and reproduction of digital multimedia online. Several techniques have been proposed to limit the illegal use of transmitted data such as steganography, cryptography and watermarking techniques. The watermarking approach consists in embedding...
A novel multi-criteria optimization framework for matching of partially visible shapes in multiple images using joint geometric graph embedding is proposed. The proposed framework achieves matching of partial shapes in images that exhibit extreme variations in scale, orientation, viewpoint and illumination and also instances of occlusion; conditions which render impractical the use of global contour-based...
Many camera calibration techniques require the detection of a pattern with known geometry, e.g., a checkerboard. Typically, the pattern must be fully contained in the field of view. This brings several limitations, one of which is that lens distortion can not reliably be estimated in outer image regions. This paper presents the occluded checkerboard pattern detector (OCPAD) to find checkerboards,...
Performances of driver assistance systems depend on weather conditions: when the later deteriorate, for instance due to fog or rain, the performances deteriorate too. We hereby present a new approach of modelling raindrops on the windshield using the declivity principle applied in different plans. Our goal is to define a profile of raindrops by analyzing intensities behavior in different planes --...
Image matching and object extraction have been at the heart of computer vision research since the last two decades invigorated by the introduction of SIFT features by David Lowe. This paper proposes an approach for the same for its application to a specific problem, i.e. to extract the rectangular pantograph region from the cheque images used by banks in India. The proposed approach relies upon maximally...
This paper proposes a robust blind deconvolution method for removing a uniform blur from microscopy images. For the estimation of the kernel — point spread function (PSF) — the stable edge is estimated using a fuzzy edge prediction method. Based on the estimated stable edges, optimizing a blurring objective function leads to a closed form for the estimation of a kernel and latent image. In comparison...
In the new Steganographic technique, hiding is based on the difference between the secret message value and the pixel value of the green component of the image. The proposed method works in the spatial domain of the image. We check the difference value between secret byte ASCII (American Standard Code for Information Interchange) value and the pixel ASCII value. For comparison embedding is initially...
Object extraction from complex scene of image is important for computer vision and pattern recognition. Fully automatic object extraction without human intervention is very tedious. Therefore, good solution of object extraction from complex scene is obtain by interactively. In this paper an interactive topological model based object extraction are proposed, which is based on two main important properties...
The scrutiny of boundaries isolation methods is presented in this paper. The newly developed algorithms, based on regression analysis and integral projection are compared with Hough transform in order to analyze their effectiveness for the specific problem of moving logs control. The comparative analysis of the methods was carried out on the database of images obtained from video sequence of real...
Many real images are shot under hazy conditions and need to be processed for better quality. So far the majority of the dehazing methods try to faithfully invert the standard hazy image degradation model. In such an approach, not only is the basic problem theoretically unsolvable, but the parameters used in many methods are often hard to estimate accurately. In this paper we make two contributions...
Foreground segmentation is a fundamental method in computer vision. Traditional foreground segmentation algorithms are sensitive to blurry degree of background, smooth foreground regions and camouflage foreground. To deal with these problems, we use light field images as input by exploiting its focusness cue. In this paper, we propose an automatic foreground segmentation algorithm for light field...
Image in painting is the process of removing selected object and restoring dead pixel from an image based on the background information. Various method have been proposed to tackle the in painting problem where they need related information from other images and use only neighboring data to recover the lost part of image. To overcome this, an efficient in painting technique called Robust Non-Local...
Image segmentation plays a basic and important role in image processing, and its results are directly related to the ones of image analysis and understanding. Aiming at solving the problem of choosing the optimal threshold-weighted threshold of commonly used thread segmentation methods, this paper proposed the method of integrating genetic algorithm with OTSU method for image segmentation, and adopted...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.