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A deoxyribonucleic acid (DNA) microarray is a powerful tool that is widely used in genetics to monitor the expression levels of thousands of genes in parallel. Gridding, segmentation and intensity extraction is the process of gene expression. In the process of gene expression, gridding process information leading to dig their own DNA and provide coordinates for each point. Gridding can be implemented...
Face recognition has broad excitement in the latest trend in image processing. Face recognition refers to identify a specific individual in digital image by analyzing and comparing patterns. It has numerous benefits which attract every sector but there are some issues such as more time consumption and lesser accuracy which degrade the user services. To solve this problem we proposed a highly accurate...
By using online measurement and inspection, the efficiency of production in product manufacturing can be greatly improved. However, most of the available methods for the measurement and inspection of parts are offline in practice, which results in either time consuming or expensive inefficiencies. In this paper, a vision-based inspection approach is proposed, which is designed to measure and inspect...
The ability to reliably detect ships within the ocean is one of the core capabilities of Maritime Domain Awareness. Constant improvements are pursued in both computational speed and reliable responses to events by exploring new ship detection methods. One such improvement is the availability of Sentinel-1 imagery. Owing to the fact that ships are considered locally bright objects, we propose using...
A novel algorithm to generate a tridimensional reconstruction of an object using a series of images obtained with sensors within low-cost cameras is proposed. As a matter of particular study, this paper present the methodology employed to set an array of sensors to extract the necessary information from a particular group of acquired images surrounding the sample, the processing schema for its interpretation...
Interferometric Synthetic Aperture Radar (InSAR) is a remote sensing technology used for estimating displacement of the earth's surface. Phase unwrapping is the most important step in InSAR processing and relies on successful selection of points that appear stable across a set of satellite images taken over time. This paper presents a new algorithm for selecting these points, a problem known as persistent...
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...
In this study, tennis ball rotation and trajectory are analyzed quantitatively. Fourteen dots are marked on a tennis ball to detect the ball rotation, and the markers' x−y positions are detected from high-speed camera images. First, the 3-D positions of the markers are calculated. Then, the rotation matrix is calculated by using the 3-D marker positions of successive camera frames. The rotation parameters,...
The benefit of offloading applications from smart-phones to cloud servers is undermined by the significant energy consumption in data transmission. Most previous approaches attempt to improve the energy efficiency only by choosing a more energy efficient network. However, we find that for computer vision applications, pre-processing the data before offloading can also substantially lower the energy...
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...
This research aimed to create a tool for pineapples quality grading according to the standard weight and size of Thai Agricultural Commodity Food Standard. The standard weights of pineapple are divided into 10 levels (A-J) and the standard sizes of pineapple are categorized into two classes (class I and class II). The developed tool consists of hardware components and a grading software program. The...
This paper develops an image processing based approach for classification of vehicles with the objective of their parking. In the paper, the heights and lengths of the vehicles are first measured on applying image processing and feature extraction techniques. Then, based on the information of the heights and lengths of the vehicles, the vehicles' eligibility to park in a specific parking lot is determined...
In the area of image processing and Optical Character Recognition, Segmentation is one of the steps which plays an important role in dealing with offline and online text images. Character segmentation means breaking an image with word into a sequence of characters. A broad perspective of segmentation lies in segmenting the characters in CAPTCHA (Completely Automated Public Turing Tests to Tell Computers...
As vertigo is common disease, it causes by problem with Nystagmus. It is difficult to diagnosis by observation. In this paper, we propose a method to detect nystagmus for vertigo diagnosis system using eye movement velocity. This method consists of three main steps: pupil extraction, velocity of eye movement computation, and nystagmus detection. An infrared camera is used to record eye movement in...
Precise yield estimation using image processing techniques has been demonstrated conceptually on a small scale. Expanding these solutions to larger scale applications requires significant computational power, which need to analyze the entirety of all captured image data. However, many images captured for yield estimation in these processes only contain small areas of useful features for analysis....
Automatic gender recognition is an emerging problem in computer visions. An accurate gender recognition system can be used to reduce the search space in face recognition system for about half. However, since there is no definitive features of sexual dimorphism on human face that can be applied to all kind of face shapes from any race and age, it needs more studies to optimize the recognition system...
The algorithms of autonomous underwater vehicle /AUV/ motion detection and near the bottom stabilization based on stereoscopic images processing are considered in the paper. The approach is based on detection of the same objects on the consecutive frames and their joint displacement calculation. Some results of the real underwater image processing and considered algorithms operation onboard of small...
Since extremely powerful technologies are now available to generate and process digital images, there is a concomitant need for developing techniques to distinguish the original images from the altered ones, the genuine ones from the doctored ones. In this paper we focus on this problem and propose a method based on the neighbor bit planes of the image. The basic idea is that, the correlation between...
In this paper, we present a new algorithm to solve some inverse problems coming from the field of image processing. The models we study consist in minimizing a regularizing, convex criterion under a convex and compact set. The main idea of our scheme consists in solving the underlying variational inequality with a proximal method rather than the initial convex problem. Using recent results of A. Nemirovski...
Recovery of shredded documents helps in security informatics, forensic and investigation science. Shredded document reconstruction requires much time and human effort. Hence, there is a great need to enhance its performance due to the high growth of critical cases requiring fast shredded document reconstruction. In this paper, we focus particularly on the most influential sub-problem which is enhancing...
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