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Automated classification algorithms have been applied to breast cancer diagnosis in order to improve the diagnostic accuracy and turnover time. However, classification accuracy, sensitivity and specificity could still be improved further. Moreover, reducing computational cost is another challenge as the number of images to be analyzed is typically large. In this paper, a novel Pixel N-gram approach...
With the arrival of High Definition Television (HDTV), the TV technology is heading towards 3DTV. Evolution of 3DTV requires the facility of capturing and analyzing the multi-view images and compressing and transmitting massive volume of data through the communication channel. The most sever issue in 3D shape extraction is the roughness of the surfaces. Image focusing is a dominant method of reconstructing...
In applications where shape is used as metadata to describe image and video content, image dependent techniques exhibit superior error concealment performance compared to the traditional MPEG-4 like image-independent techniques. The image corresponding to a particular shape may not be readily known at the decoder and rather needs to be retrieved from of a set of images. This paper presents a novel...
This paper deals with an automatic measurement of nanofiber properties on digital images. Nanofibers are manufactured by electrospinning method with diameters in the range of one or two orders magnitude smaller than conventional textile fibers. Individual algorithms and functions suitably use instruments of computer image processing. A first parameter filling is defined by a ratio of a fiber area...
Artificial neural networks are used to classify the writing system of an unseen glyph. The complexity of the problem necessitates a large network, which hampers the training of the weights. Three hybrid algorithms — combining evolution and back-propagation learning — are compared to the standard back-propagation algorithm. The results indicate that pure back-propagation is preferable to any of the...
In this study, a fuzzy clustering method has been proposed in order to segment brain tissues affected by the multiple sclerosis (MS). In traditional fuzzy clustering, the neighboring relations between pixels have not been taken account of. Additionally, the performance of the clustering reduces drastically because of the pixels having close gray levels due to noise. Therefore, in this study, a novel...
In recent years, there has been great progress in the field of multi-focus image fusion. However, existing methods still have their respective defects, and the quality of fused image needs to be improved further. In this paper, a novel fusion method by progressive pixel extraction is proposed. In accordance with the sums of all high-frequency coefficients in a series of windows, the method aims at...
Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that need to be properly documented. Responding to these important needs, we have designed and evaluated a content based image retrieval system catered for marine life images. This paper investigates the effectiveness of various low...
In this paper, we propose a road sign detection and recognition algorithm for an embedded application, which requires computationally simple but accurate algorithms. The algorithm is developed by using the Hue Saturation Intensity (HSI) color space to segment the road signs color (red, yellow, blue and white) and the regions of interest (ROI) in order to locate and determine the shape of the road...
By learning the various character image samples, the automatic and synchronistic generation of new Chinese calligraphy styles is a key problem in the computer artistic simulating. A curve analogy method based on FSVM is proposed which can generate new calligraphy styles with the user's constraining styles'parameters. Firstly, the input character image samples are transferred into a hierarchical stroke...
The reason that Chinese characters are more difficult to identify than alphabetic characters lies in the fact that the precedent has more characters and more flexible shape distortion in hand-written process.In this paper, a novel approach based on comprehensive shape features for the recognition of Chinese characters is proposed. In this approach,firstly, the comprehensive features including the...
We propose a novel and practical stereo rectification method. The method is both simple and efficient for 3D content creation, especially for 3D post-production. The major contribution of this paper is rectifying the stereo video with a nonlinear deformation considering the gravity orientation, which helps producing view-reasonable and non-gap content instantly. In our framework, a new projective...
According to the features of the changing color of fire flames, the periodically increasing of area and the irregular changing in the shape of fire when the early fire breaks, we take fire flame as a kind of special moving object and make a research of it. The color characteristics in fire video images as well as the morphological changes are discussed in this paper, a comprehensive analysis of all...
Depth Image Based Rendering (DIBR) is a technique to render virtual views from the video-plus-depth 3D scene representation. A common phenomenon in DIBR are disocclusions, i.e., unfilled areas that occur in the rendered views. The performance of disocclusion filling algorithms is usually only tested in terms of their ability of finding plausible fillings frame-by-frame. Time-consistency, however,...
Two dimensional human body pose modelling system detects the human body parts, estimates their posture and then models them in an image plane using specified shape. In this paper, two windowing techniques are presented and then compared for the human head and torso pose modelling. The first technique, namely Windowing technique I estimates the torso followed by the head of the human. In this technique,...
We propose a new approach to motion segmentation that is based on auto-generated strokes. The novelty of the approach is twofold. First, inspired by recent work of other researchers we formulate the problem as that of interactive segmentation. Instead of inputting the strokes by the user, the strokes in our approach are auto-generated. The second novelty of the paper is formulation in which, unlike...
Computer vision is a growing field of computer science that intends to extract some useful information from images, usually taken from cameras or scanners. The ability to recognize shapes in images is often necessary in computer vision programs. This article describes how to make a program able to recognize basic geometrical figures by using machine learning. This article shows the image processing...
We propose a straightforward intensity-based dissolve detection method which is able to cope with the particular constraints of the artistic animated movie domain. It uses the hypothesis that during a dissolve, the amount of fading-out and fading-in pixels should be high. Instead of just applying a global threshold, as most of the existing approaches do, we use a twin-threshold approach coped with...
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