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Automated chromosome classification is an essential task in cytogenetics. The genetic disorders and abnormalities that occur to the future generation can be predicted through analysing the various characteristics of the chromosomes. The chromosome classification is mainly based on geometric and morphological features. An effective algorithm for chromosome geometric feature extraction is presented...
The segmentation of MR images is of great interests in automatic medical diagnosis. However, such images are corrupted by Rician noise and with fuzzy edges. The non-additive and intensity dependant features of Rician noise make image processing very challenging. In this paper, a combination of techniques are carefully selected, tailored, and organized to improve the image quality for automatic segmentation...
Background subtraction is the important part of moving object detection. The problem of background subtraction is threshold selection strategy. This paper proposed a Fuzzy C-Means (FCM) algorithm to produce an adaptive threshold for background subtraction in moving object detection. To evaluate the performance, FCM were compared against standard Otsu algorithm as threshold selection strategy. Mean...
This paper puts forward a method to extract information from input image and further analyse using that information. However it is relatively difficult to extract the information as the segmentation technique required, is variable between images; a limit of segmentation performance. The main objective of our paper is to propose an algorithm on how to extract that relative information out of given...
This paper presents a low complexity 3D image depth map generation algorithm for embedded stereo applications. The proposed algorithm generates depth information based on a single view 2D image automatically. Owing to different scene characteristics of image, we propose a mechanism to classify images to “Scenery”, “Normal” and “Close-up” types first and generate the associated depth map according...
Single-shot person re-identification is to match pedestrian images captured from different cameras at different time under the condition of large illumination variations, different viewpoints, and inadequate information of single-shot case. To deal with these challenges, we propose a four-step single-shot person re-identification algorithm that consists of pedestrian segmentation, human region partitioning,...
This paper introduces a novel vision device for hand gesture-based human-robot interaction. Taking advantage of an eye-in-hand configuration, the proposed device guarantees that a target hand is projected always onto images captured from a camera. On the basis of the device, an adaptive histogram-based hand region segmentation algorithm is also proposed especially to enhance the performance against...
Due to the ubiquity of web browsers and the dramatic development of dynamic web pages, web applications become the most popular computing model for providing services over the Internet. Unfortunately, this type of systems is vulnerable to the attacks issued by automated programs. CAPTCHA, a challenge-response test, is the most widely used mechanism to protect web application systems from attacks issued...
The human experience in the analysis of the handwriting of male and female writers indicates that gender affects the appearance of the handwritten text. These differences are usually very difficult to describe numerically. In order to analyze the handwriting differences between male and female writers, several shape description techniques, such as the tangent angle function, curvature function and...
Creating robots that can act autonomously in dynamic, unstructured environments is a major challenge. In such environments, learning to recognize and manipulate novel objects is an important capability. A truly autonomous robot acquires knowledge through interaction with its environment without using heuristics or prior information encoding human domain insights. Static images often provide insufficient...
In this paper, we propose an effective approach towards color image segmentation for micro-vessel detection in the virtual slide of double stained liver tissue. The contribution of the proposed method lies in three aspects. First, the dominant colors of white/gray, blue, red and brown are modeled in the RGB color space. Second, the CART (classification and regress tree) method is implemented to segment...
CAPTCHA (Completely Automated Public Turing Test to tell Computers and Human Apart) is widely used than before, which becomes the common part of current website login system. However, the CAPTCHA implementation is tricky and risky without deliberate design. In this paper, we give a study case of the vulnerabilities in current login website using text-based CAPTCHA. Our target is a website of mainstream...
This paper proposes a method for alignment of human brain magnetic resonance (MR) image sequences in the brain based on a 3D human brain model (triangulated mesh). The brain model is composed of four components, namely, cerebrum, cerebellum, brain stem and pituitary gland which are represented by four different colors. Synthesized image sequences (cross-sections) are extracted from the model at regular...
Human Computation is defined as the integration of human tasks and automated algorithms to achieve superior quality in complex tasks like multimedia content analysis. This paper discusses a scenario in which human computation is used to segment time stamped fashion images for mining trends based on visual features of garments (e.g., color and texture) and attributes of portrayed subjects (e.g., gender...
The implications of exposure to electromagnetic waves for human health are a subject of rising concern. Numerical simulations using anatomically realistic computational human models have recently been performed for electromagnetic dosimetry simulation. However, most of these computational models are reference (average) models. In this study, we present a shape-deformable human model to which we applied...
We present an automatic human background substitution system based on a Random Walk (RW) algorithm on a multi-core processing architecture. Firstly, a fast algorithm is proposed to solve the large linear system in RW based on adapting the Gauss-Seidel method. Two tables, TYPE and INDEX, are introduced to fast locate the required data for the close-form solution. Then, face detection along with a human...
In this paper, we propose a novel motion detection method for moving human detection based only on range sensor. Different from the state-of-art frameworks on human detection field, our innovation is taking advantages of range data in motion detection and introducing a effective motion capture approach. In preliminary segmentation term the concept of Positive Motion is presented which can obtain points...
Visual detection based sense and avoid problem is more and more important nowadays as UAVs are getting closer to entering remotely piloted or autonomously into the airspace. It is critical to gain as much information as possible from the silhouettes of the distant aircrafts. In our paper, we investigate the reachable accuracy of the orientation information of remote planes under different geometrical...
In this paper we present a salient object detection model from an over-segmented image. The input image is initially segmented by the mean-shift segmentation algorithm and then over-segmented by a quad mesh to even smaller segments. Such segmented regions overcome the disadvantage of using patches or single pixels to compute saliency. Segments that are similar and spread over the image receive low...
Salient region-based image retrieval is one of the hotspots in the domain of content-based image retrieval; however the metrics about region saliency is not in the uniform frame. The research on visual attention has shown that the factors including color, texture, scale and position influence on visual perception mostly. Consequently, the algorithm of salient region extraction is proposed by using...
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