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Significant documents or old scarce books have been saved in digital forms by scanning. However, some noises may occur in a scanned image such as marginal noises. The marginal noises usually appear as dark regions around the margin of the scanned documents. In this paper, we propose a method for removing marginal noise by analyzing image histogram or projection profile of the document image. The method...
It is important to characterize the noise accurately before including its structure in the formulations of algorithms. The distribution suggested in this paper is suitable for the ambient noise having kurtosis between 2.30 and 3. The ambient noise having low kurtosis is mainly dominated by shipping traffic which is having low frequency range.
Hand pose estimation from video is essential for a number of applications such as automatic sign language recognition and robot learning from demonstration. However, hand pose estimation is made difficult by the high degree of articulation of the hand; a realistic hand model is described with at least 35 dimensions, which means that it can assume a wide variety of poses, and there is a very high degree...
Ultrasound imaging has been considered as the most powerful techniques for imaging organs and soft tissue structures in the human body. However its main limitation is its poor quality of images which are degraded by speckle noise. Speckle is a multiplicative form of noise which is inherent in ultrasound imaging but carries some useful information which should be filtered out without losing the features...
A tool developed for simulating RADARSAT-2 (RS2) Maritime Satellite Surveillance Radar (MSSR) mode data from higher resolution data is described. RS2 Fine and Fine Quad images containing validated ship and iceberg targets were resampled to low resolution ScanSAR Narrow (SCN) and MSSR mode data. This tool can be adopted to use other image modes as inputs and simulate other outputs as well and the simulated...
Magnetic resonance imaging (MRI) is widely used for analyzing human brain structure and function. MRI is extremely versatile and can produce different tissue contrasts as required by the study design. For reasons such as patient comfort, cost, and improving technology, certain tissue contrasts for a cohort analysis may not have been acquired during the imaging session. This missing pulse sequence...
This paper proposes a novel feature-detection method based on the co-occurrence histogram for an image. The method uses eight co-occurrence histograms to emphasize features in the image. The image features are treated as occurrence frequencies of two-pixel combinations in the image. When the proposed method is applied to a drawn image like a rectangle, the corner points are emphasized in the image...
Captchas are frequently used on the modern world wide web to differentiate human users from automated bots by giving tests that are easy for humans to answer but difficult or impossible for algorithms. As artificial intelligence algorithms have improved, new types of Captchas have had to be developed. Recent work has proposed a new system called Avatar Captcha, in which a user is asked to distinguish...
This paper examines the problem of decoding a unique CAPTCHA that has very high noise levels with only partially visible symbols with variable spacing but no skewing. An ingenious method for decoding is proposed that starts with preprocessing the image and identifies symbols first before removing them from the image, unlike a number of existing methods. The algorithm is expected to be very fast owing...
Histogram equalization (HE) based methodologies are popular and effective ways to improve image contrast and visual quality, but standard HE is not directly applied on consumer electronics. This paper proposes a modified Clipped Histogram Equalization (CHE) for contrast enhancement based on the fundamental of histogram modification. It improves the visual quality by enhancing details both in dark...
This paper proposes a technique of extracting moving object using a pan-tilt-zoom (PTZ) camera. The technique is based on the integration of background subtraction and local histogram processing. Background images are modeled as multiple images and their corresponding camera pose information (pan and tilt angles). To detect object in current image, first the system will determine the most matched...
For high performance analog and mixed-signal products, production test is a significant contributor to the recurring manufacturing cost. For high resolution ADCs, the cost of build can be dominated by test cost, of which linearity test cost is often the largest component. This paper introduces a new algorithm that dramatically reduces ADC linearity test cost. The algorithm takes a system identification...
Most of the algorithms for evaluating image scrambling degree depend on the plain image and they cannot achieve blind evaluation. This paper indicates that the ideal scrambled image is similar to the uniform noise in spatial domain, advances a definition of ideal image scrambling which is independent of the plain image and designs a new evaluating index. In frequency domain, the gray relational degree,...
In this study, a hardware emulation of HOG and AMDF based scale and rotation invariant robust shape detection for Field Programmable Gate Arrays (FPGA) is described. For this purpose, a robust algorithm with light-computational load has been developed based on features extracted from histogram of oriented gradients (HOG). A normalization scheme is proposed to obtain scale-invariant robust features...
In Mean Shift algorithm, the features of the tracked target and the image matching similarity criterion have great influence on the result of tracking. a new algorithm of target tracking is proposed. the algorithm combine local binary pattern and color information to form a new feature CL, which tracks target by using a method of centroid iteration based on maximum posterior probability. Thanks to...
This paper investigates existing methods for 3D point feature description with a special emphasis on their expressiveness of the local surface geometry. We choose three promising descriptors, namely Radius-Based Surface Descriptor (RSD), Principal Curvatures (PC) and Fast Point Feature Histograms (FPFH), and present an approach for each of them to show how they can be used to classify primitive local...
In this study, we propose a novel eye input device using only eye movement without the calibration for correcting the gaze direction. The traditional eye input device using eye positional information requires head movement. However, the severely disabled people who are unable to move their head, e.g. amyotrophic lateral sclerosis, are difficult to use this device. Although an eye-gaze input device...
A new robust to noise algorithm for mammographic image segmentation is presented in this paper. Its main objective is the separation of breast and background, establishing correctly the boundaries of the breast. The algorithm is a combination of several image processing operations such as histogram specification, re-sampling, histogram adjustment, arithmetic and morphological operations. It was tested...
There is always much difficult in the MR image segmentation. Although fuzzy c-means(FCM) clustering algorithm has been widely used in the field of image segmentation study, some inherent deficiencies of this algorithm especially the high cost of computation made the algorithm to be difficult widely used in practice. A novel algorithm, based on kernel fuzzy c-means (KFCM) clustering algorithm and the...
In this paper we address the problem of detecting road intersections. We present two approaches to solve the problem of intersection detection in an unstructured outdoor setting. The first is a natural extension of the popular VFH* obstacle avoidance algorithm. It detects intersections and tracks, over a period of time, the angles at which gaps in the robot's certainty grid (CG) are first observed...
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