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This paper proposes a method for simulating human opinions about graphical artistic expressions like calligraphy using computers. Scanned images of handwriting texts from a large database are labeled as "beautiful writing" or "ugly writing" by two persons based on their own likes. Our objective is to replicate these opinions using machine learning techniques. Shape features are...
Image segmentation is an essential step toward higher level image processing in remote sensing. However, the traditional image segmentation approaches based on pixels spectral characteristics and single-scale image information extraction methods have obvious flaws in this respect. Currently, multi-scale image segmentation is seen as a promising alternative of traditional segmentation method and is...
Sign recognition has evolved from traditional video-based to 3D-based image recognition. Most documents are presented with Kinect-based somatosensory terminals, which are limited by difficulties in precisely describing the motions performed by various palm joints. The linguistic details of sign language (SL), such as position, direction, and movement, therefore have to be manually inputted. Meanwhile,...
Astigmatism is very common eye disorder, which coexist with other refractive errors. Two third of the population worldwide who have myopia has astigmatism as well. Many diagnostic methods to detect these visual disorders have been developed in the last 10 years. Most of them are computer based techniques for better accuracy and fast response. In this paper an image processing based method for diagnosing...
This paper proposes a novel approach to detect or identify fours in cricket videos. The problem in automatic four detection arises because ball detection and boundary detection is not a very easy task. Problems in ball detection arises because the ball could get occluded by the players, the speed of the ball usually very high and due to the high speed of the ball, its shape and size may get distorted,...
In this paper we present a new approach of Arabic diacritics modeling. The developed algorithm represents a section of the features extraction module of an online Arabic handwriting recognition system based on explicit grapheme segmentation strategy. The algorithm consists in three stages: first the detection of diacritics using the dimensions and the positions of the isolated handwriting strokes...
This paper introduces a fast Traffic Sign Recognition system developed for a robot, participant in the Autonomous Driving Competition in the Portuguese Festival of Robotics. The Autonomous Driving Robot performs detection and classification of traffic signs and traffic lights based on the analysis of images acquired by a camera mounted on its chassis. The proposed algorithm is composed of three processing...
Clustering is a semi-supervised or unsupervised algorithm for classifying a set of data according to underlying characteristics or similarity. There are many different algorithms for different applications. Each algorithm has its advantages to some special fields. As to the data obtained from an automotive LUX-LIDAR, the existing algorithms are failed to cluster them accurately or efficiently. It...
Circular dependencies between software artefacts are widely considered as problematic. However, empirical studies of Java programs have shown that most programs are riddled with circular dependencies. This seems to imply that not all circular dependencies are as detrimental to software quality as previously thought. Clearly, a better understanding of the types of circular dependency and their effect...
Automated 3D image segmentation and classification of biological structures is a critical task in modern cellular and developmental biology. Furthermore new emerging acquisition systems, like light-sheet microscopy, permit to observe whole embryo or developing cells in 4D, allowing us to better understand the spatial organization of tissues and cells. Numerous algorithms have been developed for 3D...
Thinning “Skeletonization” is a very crucial stage in the Arabic Character Recognition (ACR) system. It simplifies the text shape and reduces the amount of data that needs to be handled and it is usually used as a pre-processing stage for recognition and storage systems. The skeleton of Arabic text can be used for: baseline detection, character segmentation, and features extraction, and ultimately...
The study of human metaphase chromosomes is an important feature in diagnosis of genetic disorders. Although many image processing techniques have been developed for chromosomal karyotyping to assist in laboratory diagnosis but they fail to provide reliable results in extracting the centerline of chromosomes due to their shape variability when placed on microscope slides. The technique of arranging...
This article presents a novel method of classification of plants using their leaves. Major plant species have unique leaves which are different from each other by features as shape and texture. The primary step for the identification is detection of the edges of plant leaves which is done by Otsu's algorithm, texture features from Gray Level Cooccurrence Matrix and binary morphology. We propose a...
Object detection and classification in video is an important step in the video surveillance. We propose efficient moving object detection, classification and evaluate its parameter by alternating the algorithm in effective way. The techniques like image subtraction, threshold and foreground detection will be used for object detection and patterns are used for classification. Then frame by frame the...
The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety...
Brazilian energy distribution companies need to frequently update their database of the public lighting network. Since changes on this network are frequently not reported, it is important to monitor where they are made. An electronic device is under development for making this task easier. One component of this device uses image processing and recognition techniques to identify the luminaire models...
Sub-pixel mapping is a vital process on the unmixing and locating of remotely sensed mixed pixels. Each mixed pixel decomposes to S×S end members, in which S delegates spatial scale factor. How to choice the S value directly determines positioning accuracy and reliability. This paper focuses to the accuracy analysis on sub-pixel mapping by applying normalized Fourier descriptor to describe and assess...
Currently pornographic image on the online world, teenagers and kids can visit easily. Which stimulate sexual desire. Resulting behavior of sexual abuse, enticing a child under the age of 15 years increased, cause problems getting pregnant and sexually transmitted diseases. Pornographic detection is essential to prevent to access through analyzing image content. Many researchers are interested in...
Several clustering algorithms have been extensively used to analyze vast amounts of spatial data. One of these algorithms is the SNN (Shared Nearest Neighbor), a density-based algorithm, which has several advantages when analyzing this type of data due to its ability of identifying clusters of different shapes, sizes and densities, as well as the capability to deal with noise. Having into account...
Artificial touch sensing system for various Human Computer Interaction (HCI) applications is required to be capable of recognizing various parameters viz. object shape, size, texture and surface. However, only identifying object-shapes is not sufficient for object recognition. It is necessary to distinguish the object shapes according to their dimensions or sizes. Thus in the present work object shapes...
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