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Tracking moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. As the shadows attached along with the moving object also have the same motion that of objects, the detection of shadows as foreground objects is very common and produce large errors in object localization and recognition. This paper...
Ultrasound Imaging is a popular modality for better diagnosis and treatment of various diseases. So there is a need to educate a large number of people coming from different backgrounds about Ultrasound Image Processing. The aim of this project is to help beginners in the field of Ultrasound Image Processing to enhance their domain knowledge by making information about Advanced Ultrasound Image Processing...
Microscopic size wear debris transported through oil-lubricated systems provides important information about the condition of machinery, in particular the state of wear. Experts extract this information to monitor the operation of the machine to ensure safety, efficiency and economy of operation. This paper describes the analysis of microscopic particles generated by wear mechanisms by using computer...
An efficient K-Means clustering algorithm is proposed using the power of SQL in a relational Database Management environment. Further, this method is applied to segment 2D echocardiography images. We propose this method mainly to improve the speed of segmentation process for further clinical analysis and diagnosis (example: Left Ventricular (LV) boundary detection and other 2D quantitative measurements)...
Technology in medical imaging is so rapidly advancing that the pressure to keep up pace in all the allied technology is tremendous. There has been an increase in the number of medical images captured, an increase in the demand for the benefit from the diagnosis of the new images and an increase in the number of methodologies that can transmit medical information from the images correctly. DICOM has...
A block loss recovery technique based on multiple edge detection is presented in this paper. A new spatial interpolation algorithm based on multiple edge detection is proposed. This approach improves the capability into reliability to recover multiple edge intersection contents in the corrupted block. Experimental results demonstrate that the proposed method has better performance than traditional...
Based on multi-wavelets, the article systematically researches the following problems: threshold improvement and shrinkage-function betterment, and then used the improved algorithm in application of phytoplankton cellular image' edge detection. In this paper, the threshold selection has direct relations with the result of de-noising, and the improved algorithm can achieve better de-noising effect;...
Early diagnosis of Breast Cancer is the key to improve survival rate. Infrared thermal imaging or thermography is a promising screening tool as it is able to warn women of breast cancer ten years in advance. However, interpretation of a thermogram can be inconsistent. In order to improve the accuracy of preliminary breast cancer screening using thermogram, image segmentation is proposed as an automatic...
This paper proposes an automatic method to recognize the hand in complex background. With this method, contour of hand in pictures can be figured out and the fingertips can be marked out. Skin color detection is used to find out the hand region out of a complex background, then a serial of morphological operations is performed to get the contour of the hand, and the computation of Fingertip-Angle...
An improved edge detecting algorithm based on mathematical morphology and wavelet transform is proposed to overcome the limitation which embarrasses the performance of the traditional mathematical morphological methods. In the wavelet domain, the low-frequency sub-image edges are detected by solving the maximum points of local wavelet coefficient model to restore edges, while the high-frequency sub-image...
3D reconstruction based on high-level features, such as line and plane, is a significant development trend in Digital Photogrammetry and Computer Vision. Moreover how to rapidly realize 3D visualization of street landscape is very important for cyber city's 3D modeling. In order to improve efficiency of street 3D visualization and reduce human-computer interaction, a scheme with high feasible and...
This paper presents a robust vehicle license plate detection algorithm based on multi-features, including mathematical morphology, rectangle features, edge statistics and characters features. Here we utilize the word ??robust?? to describe the proposed algorithm because it is not only adaptive to variance occasions, such as variance of the illumination, vehicle position, the color, both background...
In this paper, the software algorithm to achieve real-time video image acquisition, processing and identification is studied and discussed in-depth. Through access to documents, a image acquisition and processing system with DSP processor as the core is given to achieve real-time video image acquisition, processing and identification. And according to the target image characteristics of the cave,...
today the computer's development has entered the post-PC era, more and more embedded devices have permeated our daily lives, and image processing system based on embedded technology can be used for industrial control, intelligent transportation, residential surveillance and other fields. This paper mainly researches a type of embedded image information acquisition system, including the establishment...
Nature of medical images makes segmentation a difficult problem. Often the human anatomy in medical images blend with its surrounding due to low contrast thus making changes in the edge gray level too low and difficult to detect. Medical images are also noisy and fuzzy. The main challenge of this paper is to detect the outer cortical (OC) and inner cortical (IC) of the bone for the measurement of...
Ultrasound imaging utilizes sound waves reflected from different organs of the body to give local details and important diagnostic information on the human body. However, using ultrasound images for diagnosis is difficult because of the existence of speckle noise in the image. The speckle noise is due to interference between coherent waves which are backscattered by targeted surfaces and arrive out...
The concept of structured light system has been applied to recommend scanning positions in selective data acquisition process. The complexity is analyzed from the edge images of a single horizontal line of bright light that is projected locally onto the surface on different side views. Each analysis leads to a recommendation for either scanning position or projecting a new line position. However,...
In this paper, we present a data hiding scheme that embeds the secret data into the compression codes of the host image. The compression codes are associated with the visual patterns appearing in image blocks and are computed through a histogram analysis of residual blocks of the host image. The hiding capacity for each compressed block is not fixed and varies with its block type. Blocks with low...
It has enormous development with the wavelet theory applied to image edge detection for its well properties of multi-scale edge detection. The traditional wavelet algorithm has bad sensitive to direction properties that applied to analysis image edge detection, and it is the major disadvantage. So the traditional wavelet about this is improved and puts forward a kind of new wavelet transform algorithm...
An improved fuzzy edge detection algorithm is presented, and the drawbacks of Pal fuzzy algorithm have been overcome by a new enhancement operator based on gauss function. Firstly, the threshold parameter was confirmed by maximum variance automatic selection threshold method, and then linear translation was used to define a new membership function based on the new threshold parameter. As a result,...
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