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The recognition of forged fingerprints at crime scenes is a very old challenge. Various forgery techniques can be applied to produce such traces. However, the detection of such forgeries usually involves a thorough manual inspection. For the example of fingerprints printed using ink-jet printers and artificial sweat, first pattern recognition approaches are proposed in prior work employing two different...
Index generation for satellite image is an important task for retrieving satellite image in data warehouse. The goal of index generation is to find a polygon that represents the geographic image area. Using too many vertices for satellite images index can decrease retrieval speed. Therefore, the aim of this research is to develop an algorithm for generating index for satellite images using small amount...
This paper describes an image processing method to automate the optical inspection process for solder jet ball joint defects on the Head Gimbal Assembly (HGA) of hard disk drives (HDDs). Vertical edge detection methods are proposed to identify the defect. The performance of the vertical edge detection method is evaluated against another technique; the Sobel-based method. Both methods were implemented...
For depth-from-stereo vision applications such as driving assistance and object-size estimation, the accuracy of disparity estimation determines the precision of depth measurement. Conventional dense methods are hard to estimate disparity within a 0.1 pixel precision. In this paper, we present a novel object-based method to achieve robust and deep sub-pixel accurate disparity estimation. In our experimental...
This paper deals with the study of dependence of subpixel accuracy of edge detection in 1-D images on number of used samples. Our study includes four methods for edge detection with sub-pixel accuracy in 1-D images: method based on approximation of real image function with erf function, moment-based edge operator, technique using spatial moments of the image function and the method based on wavelet...
Traffic congestion is a daily occurrence in most urban areas of Bangladesh now a day. In the last 10 years the scenario has worsen due to rapid increase of vehicles and insufficient roads to accommodate them. This paper describes a method of real time area based traffic density estimation using image processing for intelligent traffic control system. Area occupied by the edges of vehicles will be...
We propose a new method for fitting an ellipse to a point sequence extracted from an image. This method can fit an ellipse if a point sequence consists of elliptic arcs and non-elliptic arcs such as line segments. Assuming that input points are spatially connected, we iteratively select inlier points and fit an ellipse to them by computing curvatures of the residual graph. By using simulated data...
In this paper, we propose a simple general-purpose road boundary detection method, which can detect low height curbs, curved curbs, slopes, vegetation and ditches. Many conventional methods based on DEM (digital elevation map) can only deal with ordinary curbs because they use step-edge detection on the DEM. The proposed method detects height changes against road surface on several multi-directional...
In this paper, we propose a method to extend the field of view (FoV) of cameras mounted on Micro Aerial Vehicles (MAVs). The idea is to stitch together appropriate sections of the panorama to the camera frame. The proposed system efficiently performs view extension by fusing fast tracking and feature descriptor matching into the stitching algorithm. The quality of the extended view is further improved...
In remote display protocols, screen image compression plays an important role to improve quality of experience (QoE) of users and reduce the bandwidth consumption. Not all image elements on the display have the same type, so it is wise to apply a screen image classification for compression decision. In this paper, we propose a novel efficient approach for screen image classification that separate...
Stereo vision systems are very inevitable part for depth measurement in most autonomous systems. This paper presents an approach to stereo vision applicable for finding disparity and depth information which is very critical for autonomous robot navigation[1] and path following applications. Using the depth information[2] it is possible to control drones and similar autonomous systems. A pair of USB...
In this work, an accuracy analysis of the estimation of the time of flight (ToF) for time domain reflectometry (TDR) signals is carried out. For this purpose, three different criteria (referred to as ‘maximum derivative’, ‘zero derivative’, and ‘tangents crossing’) were comparatively applied for the evaluation of the ToF of a TDR signal propagating along a set of RG-58 coaxial cables (with different...
The use of directional patterns has recently received more attention in fingerprint classification. It provides a global representation of a fingerprint, by dividing it into homogeneous orientation partitions. With this technique, the challenge in previous works has been the complexity of the pattern templates used for classification. In addition, incomplete fingerprints are often not accounted for...
Image based road detection is a vital task for many real-world applications such as autonomous driving and obstacle detection. The detection of unstructured roads is particularly challenging by reason of blurry road borders, rough road surfaces and varying imaging conditions. In this paper, we propose a simple and effective method for unstructured road detection. The key idea is to consider the whole...
This paper investigates several techniques that increase the accuracy of motion boundaries in estimated motion fields of a local dense estimation scheme. In particular, we examine two matching metrics, one is MSE in the image domain and the other one is a recently proposed multiresolution metric that has been shown to produce more accurate motion boundaries. We also examine several different edge-preserving...
Palm region extraction is one of the most important processes in palmprint recognition, since the accuracy of extracted palm regions has a significant impact on recognition performance. Especially in contactless recognition systems, a palm region has to be extracted froma palm image by taking into consideration a variety of hand poses. Most conventional methods of palm region extraction assume that...
An ego-motion detection system has been developed, where edge features are extracted from an image and analyzed to detect any motion from the camera holder instead of using the conventional method of comparing pixel intensities. Such edge-based feature representation scheme reduces the computational complexity and increases the accuracy, thus being better suited to hardware implementation due to its...
For the patients with neurological disturbance and head injury, brain hemorrhage may be considered as one of the primary causes. It is the leading cause of human deaths in the world following heart disease and cancer. The rupturing of blood vessels present inside the brain results in brain hemorrhage. It consists of bleeding outside or inside of the brain substance. Computed Tomography (CT) is one...
This paper extends the vectorial strategy for designing line segment detection masks to large windows, thereby permitting line segments to be detected and orientated efficiently with just two masks in a far greater number of applications than the original formulation [1]. Our own application exemplifies the value of these linear feature detectors for the purpose of locating insects in grain, and 7...
Subpixel Edge Localization (EL) techniques are often affected by an error that exhibits a systematic character. When this happens, their performance can be improved through compensation of the systematic portion of the localization error. In this paper we propose and analyze a method for estimating the EL characteristic of sub-pixel EL techniques through statistical analysis of appropriate test images...
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