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Leukemia is routinely diagnosed by light microscopic images. However, pathologists' criteria for a disease diagnosis from images are mostly qualitative and empirical in nature. Reports suggest that though leukemia is a cancer of leukocytes; however, there are morphological alterations of red blood cells (RBCs) under the condition of leukemia. This has been evident by in observation of ultra-structural...
This paper presents a method for human action recognition from depth sequence. First, we subdivided the normalized motion energy vector into a set of segments, whose corresponding frame indices are used to partition a video. Then each sub-action is represented by three Depth Motion Maps (DMMs) to capture motion cues in three orthogonal projection views. Multi-scale Histogram of Oriented Gradients...
In this paper an approach to deal with Predictive Maintenance (PdM) problems with time-series data is discussed. PdM is a important approach to tackle maintenance and it is gaining an increasing attention in advanced manufacturing to minimize scrap materials, downtime, and associated costs. PdM approaches are generally based on Machine Learning tools that require the availability of historical process...
Venn & Euler diagrams are well-defined mathematical diagram types, which are the major representation methods of Set Theory. Although understanding of different diagram types such as charts and coordinate graphs has been addressed, no research has been done for Venn and Euler diagram interpretation from an image. Venn and Euler Diagrams exist in various media types such as printed format in books,...
Data stream is relatively new and emerging domain in the current era of Internet advancement. Clustering data streams is equally important and difficult because of the numerous hurdles attached to it. A number of algorithms have been proposed to offer solutions for efficient clustering. Grid-based clustering approach was adopted few years ago to overcome the limitations of conventional partition-based...
Line graphs are abundant in scholarly papers. They are usually generated from a data table and that data can not be accessed. One important step in an automated data extraction pipeline is the curve separation problem: segmenting the pixels into separate curves. Previous work in this domain has focused on raster graphics extracted from scholarly PDFs, whereas most scholarly plots are embedded as vector...
The polygonal representation method is put forward in the paper. The method is based on recursion and boundary division which describes the shape of the incomplete and overlapped weed seeds. The method extracts the contour shape features as local features using the scale space method. The local features are irrelevant to the position and orientation, at the same time, meet the scale, rotation and...
Interaction experience in multimedia systems can be improved by adding personalization. Current applications for building and animating characters to represent real users are typically based on pose and motion detection. For so doing, computer vision algorithms do not exploit the anatomical characteristics of the human body for improving their classification accuracy. This work presents an strategy...
Nowadays, since urban planning and landscape simulations are required to get the "characteristics" of target buildings, especially in structures, the reconstruction of 3D building models, necessary for visualization on a computer, becomes crucial. In 3D landscape modeling, a 3D building model that can well represent reality is always the upmost goal. We have already proposed an automatic...
In the Era of Information, Extracting useful information out of massive amount of data and process them in less span of time has become crucial part of Data mining. CURE is very useful hierarchical algorithm which has ability to identify cluster of arbitrary shape and able to identify outliers. In this paper we have implemented CURE clustering algorithm over distributed environment using Apache Hadoop...
Data mining has gained much importance in the field of research these days. It makes perfect blend for analyzing data of any fields and provide decision based output. Data generation and storage these days are done at high speed. Non stationary systems play holistic role in providing such data. Availability of such data creates scope of analysis for researchers. Such data which are continuous, unbounded,...
Multispectral data from inexpensive, yet accurate, sensors has become readily available within the last several years and opened many possibilities for contactless biometrics applications. The Kinect v2 provides depth, RGB, and Near-Infrared (NIR) data and can be used for recognition of individuals using extracted hand regions in all three spectra. Initially, the depth data is used to extract the...
Road is the skeleton of the city, which is usually elongated. Extracting road information is of great significance in urban planning. Tensor voting can detect the geometric characteristics of the typical objects in the image. In this paper in order to improve the accuracy of road extraction in high-resolution remote sensing image, road is extracted preliminary using morphological edge segmentation...
A relative position descriptor is a basis from which fuzzy models of spatial relationships can be derived. Several descriptors have been proposed in the literature, and they have found a variety of applications. The PHI-descriptor, introduced in previous work, allows the modeling of a large number of relationships. We show here that it can be used to develop crisp and fuzzy models of topological relationships...
Diffusion MRI(DMRI) provides us with the anatomy of the white matter fibers in the brain. Extracting shape information is a necessary step to analyze the deformation in the white matter fibers of a patient before and after brain surgery. We propose various measures with different invariance properties to explain deformations of different characteristics. The measures are presented for corticospinal...
High resolution satellite images are new sources of data for geo-spatial information. In order to automate the process of extraction of information from satellite images emulating human experts, an understanding of the human cognitive processes involved in information extraction from images are required. The objective of this research work is to emulate the human cognitive capabilities by integrating...
Techniques for automating hologram processing, information extraction and construction video based on holographic data are discussed. The method for alive/dead particles identification is suggested. Experimental results are presented.
Although numerous clustering algorithms can be found in literature, most of existing algorithms require one or more parameters as input, and their clustering performance usually depends heavily on user-specified parameters. Although some methods have been proposed to determine these parameters automatically, the parameter-tuning problem is still open in general. As a graph-theoretic approach to clustering,...
The streaming data scenario has brought about unique challenges with it, like outliers detection, large dimensionality and the issue of scalability being at primary focus. The temporal locality is a quite important while, processing evolving data stream (EDS). The inherit patterns present in the data evolves, and hence, the past clusters are no longer valid to the future and also the initial centroids...
In view of today's information available, recent progress in data mining research has lead to the development of various efficient methods for mining interesting patterns in large databases. It plays a vital role in knowledge discovery process by analyzing the huge data from various sources and summarizing it into useful information. It is helpful for analyzing the volumes of data in different domains...
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