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Rapid and accurate determine of blood types is very important during emergency situation before administering a blood transfusion. At present the method based on image recognition technology to quickly determine blood type has been widely used in the automated blood analyzer. In this paper, we propose a fast, accurate and robust blood group judgement method based on the image features of ABO blood...
Image intensity inhomogeneity and low contrast aretwo substantial challengesfor image segmentation. In this work, we propose a new active contour method forsegmenting images with inhomogeneous intensity and low contrast. To deal with the intensity inhomogeneity, we use a local image fitting term. To deal with low contrast, we use a strictly convex and differential function as the data fidelity measure...
Active Contour method has been shown very effective in detecting the contour of region(s)-of-interest(ROI) and is widely used in image processing and computer vision. In this work, we aim to improve the performance of Zhang's method in detecting boundary of ROIs. Specifically, we will generalize the CV energy functional and give a new special case. The new energy functional penalize the approximation...
Conventional multiphase image segmentation methods perform well in segmenting piecewise constant or local piecewise constant images. However, real images usually contain intensity variation induced by illumination inhomogeneity, small scale details, texture and noise. This brings great challenges to image segmentation and heavily degenerates the performance of the conventional methods. In this work,...
Flip chip technology has been used extensively over the past decades. In this paper, an intelligent diagnosis system for solder bumps based on the scanning acoustic microscopy (SAM) has been developed, and a fuzzy support vector machine (F-SVM) algorithm is investigated for defect classification. An ultrasonic transducer of 230MHz is used to capture the image of the flip chip. Solder bumps are then...
Segmentation and visualisation of the hippocampus can assist with early detection and intervention for a number of brain diseases. This paper describes a semi-automatic segmentation approach that produces accurate results with a significant reduction in operator effort compared with manual segmentation. A Geometric Deformable Model incorporates global constraints to solve many of the problems associated...
Bridge plays an important role in people's life. The automatic bridge detection has great value especially in disaster situation. In this paper, we propose an automatic bridge detection method in multispectral image to detect bridges over water. First, we extract the water region using NDWI index method by taking the advantage of the spectrum properties of water. Second, the water region is extended...
A novel concept called gray-intensity wave equalization is introduced in this paper to resolve the non-uniform illumination problem in the binarization of nondestructive test images. This concept is derived from the principle that the peaks and troughs of waves in the intensity plane of image should belong to the foreground and background, respectively. This method can also be viewed as an image enhancing...
In World Wide Web, images come together with valuable surrounding contextual information such as texts. There are very few efforts performed to address problems in mining of the images with their surrounding contextual information; although this information has long been extracted for wide range of uses such as image annotation, clustering of images, inference of image semantic content and image indexing...
We propose new techniques to address low-level image segmentation problem under clustering theory. The goal of this paper is to provide a compromised solution between methods that produce two different kinds of segmentation results: one generates coherent regions but views disjoint regions as totally different objects, and the others do not consider the spatial relationship at all. For our approach,...
Image Segmentation is a promising technology and very important for image retrieval, target tracking and image analysis applications. The existing region-based level set image segmentation methods which obey a criterion of maximizing the statistic distance of sub-region are mostly on the assumption of dimidiate image, often leading to unsatisfied segmentation results. In order to overcome this deficiency,...
This paper introduces the shortage of the multimedia search of IETM and analyzes the limitations of the MPEG-7 standard based on XML Schema language on the multimedia contents representation of IETM. With MPEG-7 standard, this paper explores the reality construction of OWL (Ontology Web Language) of IETM multimedia, which contains: the OWL representation of the describing symbol of IETM low level...
Traditional watershed segmentation is sensitive to noise and can leads to serious over-segmentation. In order to overcome the shortcomings of traditional watershed segmentation, this paper presented an improved watershed image segmentation method. Firstly, the morphological opening/closing reconstruction filter is applied to remove the image noise. Secondly, multi-scale structure elements are used...
This paper advanced a hand geometry recognition method based on Gaussian mixture model (GMM), which used One-dimensional centroid distance series to describe 2-dimensional hand geometry. Each departed finger obtained one centroid distance series, which was used to build a Gaussian mixture model and applied to hand geometry recognition. At last, the results of experiment verified that this method was...
Many disadvantages will impact the threshold segment of a image, such as over light or over dark, uneven illumination and too weak target signal. The paper proposes a novel local threshold segment method based on multi-orient grayscale wave. Firstly it takes the threshold segment in one direction by searching crests and troughs of grayscale wave in one dimension, and then it fuses the segment results...
Based on saliency region representation of visual scene, a framework for quantifying the semantic similarity of two video scenes is proposed in this paper. Frame-segment key-frame strategy is used to concisely represent video content in temporal domain. Spatio-temporal conspicuity model for basic visual semantics, a neuromorphic model that simulates human visual system, is used to select dynamic and...
Image segmentation is a popular research topic in the field of image processing. In this paper, we propose a new image segmentation method. To solve the problem of the previous entropic thresholding method using a traditional histogram, grey levels are embedded in the traditional histogram and applied in the entropic thresholding algorithm. Experimental results show that the modified method proposed...
Conventional visual and manual road crack detection method is no fit to the development of the highway: it is time-consuming, non-precise, dangerous, and costly. Automatic pavement survey is required. This paper treats a problem arising in the design of intelligent vehicles also describes an automatic road crack detection method based on image processing. It enhances the road image by comparing two...
Real-time monitoring system has important practical value for industry production, and the monitoring systems nowadays cannot satisfy both remote monitoring and high definition requirement. A high definition real-time monitoring system scheme based on embedded network streaming media is proposed after further research on image segmentation technique. Remote monitoring system is realized, data quantity...
Because AdaBoost cascade face detection algorithm has a very outstanding performance, AdaBoost face detection is the mainstream algorithm currently. But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances misjudgment is even more serious. In view of reasons above, in this paper, a new algorithm was proposed...
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