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Natural disasters such as earthquakes and tsunamis often have a devastating effect on human life and cause noticeable damage to infrastructure. Active research has been ongoing to mitigate the impact of these catastrophes and preclude the economic losses. The existing methods that utilize pre-event and post-event images not only require the immediate and guaranteed availability of the appropriate...
This paper presents a technique for biometric identification based on image acquisition of the palm of the human hand. A computer system called Palm Print Authentication System (PPAS) was implemented using the technique exposed, it identifies human hand palm by processing image data through texture identification and geometrical data by employing the Local Binary Pattern (LBP) method. The methodology...
Cancer diagnosis and treatment has a great significance due to the prevalent episodes of the diseases, high death rate and reappearance after treatment. On the world scale, cancer stands in the fifth position which causes death. Among the various cancers, liver cancer stands in the third position. Liver cancer is generally diagnosed by three different test like blood test, image test and biopsy. To...
With the rapid expansion of major cities, the tremendous increase in the number of vehicles, and the construction of huge buildings and parking areas, there is a need to develop smart parking systems to assist drivers finding the nearest available parking spots. Such systems have witnessed substantial research efforts in developed countries. There are mainly four categories of car parking management...
Remote sensing images obtained by remote sensing are a key source of data for studying large-scale geographic areas. From 2013 onwards, a new generation of land remote sensing satellites from USA, China, Brazil, India and Europe will produce in 1year as much data as 5 years of the Landsat-7 satellite. Thus, the research community needs new ways to analyze large data sets of remote sensing imagery...
This paper proposes a method for automatic 3D segmentation of human brain CT scans using data mining techniques. The brain scans are processed in 2D and 3D. The proposed method has several steps - image pre-processing, segmentation, feature extraction from segments, data mining, and post-processing. The method introduced is implemented in 3D image processing extension for the RapidMiner platform,...
In order to construct the city three dimensional (3D) building model, building contours must be extracted in fast and accurately. Traditional engineering survey and photogrammetry method is low efficient to do this. The Light Detect and Ranging (LiDAR), so called Airborne Laser Scanning, works on the same principle as radar except using light waves instead of radio waves. It can measure distance and...
Accurate extraction of previously defined objects from noisy images is still a challenge for most image processing systems. There is a trade-off between the unwanted and useful amount of extracted information. From quality aspect, the matched filtering approach is preferable, as it significantly reduces the amount of unwanted information; however, the segmentation of filtered images usually is difficult...
The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, like data acquisition, preprocessing, segmentation, feature extraction and classification. The proper combination and parameterization of the utilized methods are heavily relying on the given image data set and experiment type and may thus require advanced image processing and classification...
Microarray technology enables simultaneous gene expression level monitoring for thousands of genes. While this technology has now been recognized as a powerful and cost-effective tool for large scale analysis, the many systematic sources of experimental variations introduce inherent errors in the extracted data. Data is gathered by processing scanned images of microarray slides. Therefore robust image...
Clustering analysis is the problem of partitioning a set of objects O = {o1... on} into c self-similar subsets based on available data. In general, clustering of unlabeled data possess three major problems: 1) assessing cluster tendency, i.e., how many clusters to seek? 2) Partitioning the data into c meaningful groups, and 3) validating the c clusters that are discovered. We address the first problem,...
Image segmentation is an important technique in the area of image processing with wide applications in medicine, remote sensing to mention a few. A lot of research work is in progress in various areas resulting in many computationally efficient algorithms. There are conventional as well as improvised segmentation algorithms depending on the application. The choice of the technique in most cases depends...
In this paper, a semi-automatic road extraction algorithm is proposed. The algorithm starts from a Euclidean distance transform to convert the original remote sensing image into a distance image, which presents all roads in the darker color and can be used as the input image for further process. Then, the contrast of the distance image is enhanced and the skeletons of roads are found. Following these...
Traditional pest detection methods can't provide the grain pests' categories, densities and other parameters. In addition, with the increase of the stored-grain pests' drug fastness, their categories and densities are increasing in recent years, With the development of pattern recognition, image processing, intelligent algorithm, computer technology, develop a new detection system is necessary and...
A new touching cells splitting method based on watershed and splitting line finding is demonstrated to handle the splitting of touching cells with small grey intensity variation in the touching area. The new method incorporates watershed transformation and splitting line finding into a whole procedure so that it can segment both the simple and complicate touching cells. Experiments verified that it...
This paper researched scale invariant feature transform (SIFT) which is feature extraction method of image processing, and it is stable for image feature registration. And image mosaic needs the fusion of overlapped region after the image registration. The research of image fusion in mosaic nowadays is concentrated on multi-resolution mosaic simply, and ignores the similarity of feature points among...
A critical step in fingerprint identification system is the thinning of the input fingerprint image. The performance of a minutiae extraction algorithm relies heavily on the quality of the thinning algorithm. In this paper, a fast fingerprint thinning algorithm is introduced. The algorithm works directly on the gray-scale image not the binarized one where binarization of fingerprint causes many spurious...
Microarray technology has emerged as one of the robust methodology for quantitatively analyzing gene expressions of thousands of genes simultaneously. The experimental design, image processing and data analysis are the three major stages of microarray based analysis. The main goal of array image processing is, to measure the intensity of the spots and quantify the gene expression values based on these...
This paper proposes an architecture to provide semantic media information to the current existing meteorological models and prediction techniques. Satellite images have been used by meteorologists during the last 50 years, but we present a new method to take advantage of local images taken from the Earth. Networked terrestrial weather stations can offer valuable image information, both of local and...
Mammograms can depict most of the significant changes of breast disease. The primary radiographic signs of cancer are masses (its density, site, shape, borders), spicular lesions and calcification content.These features may be extracted using various detection system .The common are Neural network, wavelet, fuzzy logic, evolutionary approach and finally hybrid system ,which employs integration of...
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