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High precision results in structural with the shortest time consumption are expected when methods are introduced to solve FEM(Finite element method). Solving of stiffness matrix assembled by isoparametric elements and solving the assembled stiffness matrix are the most time-consuming. In the previous serial algorithms, there is always a time limitation for some applications and it is hard to achieve...
Production of high quality wheat has a great importance especially in the solution of nutrition problems. It is necessary to make decomposition for specifying the quality. Here, high quality and unclassified wheat recognition are realized. The most distinctive feature between high quality and poor quality wheat is the shape difference. In this study, Bag of Contour Fragments (BCF) was used as a shape...
Recent progress in Thermal and infrared Non-Destructive Testing (IRNDT) in different fields have provided interesting defect detection solutions. Principal Component Analysis (PCA) based K-means clustering have been successfully introduced and used in many clustering applications. However, PCA suffers from being relatively more sensitive to the noise due to having a linear transformation. On the other...
Shape Boltzmann machine (a type of Deep Boltzmann machine) is a powerful tool for shape modelling; however, has some drawbacks in representation of local shape parts. Disjunctive Normal Shape Model (DNSM) is a strong shape model that can effectively represent local parts of objects. In this paper, we propose a new shape model based on Shape Boltzmann Machine and Disjunctive Normal Shape Model which...
Construction of field lines for vector fields can be performed by a variety of analytical or graphical methods. Except for a small number of simple geometries, where closed analytical expressions can be obtained, the shape of the field lines is determined by numerical computation or evaluated approximately by physical modelling techniques [1]. In this paper, we consider irrotational vector fields...
In this work an image processing system was developed to identify malaria parasites in thin blood smears and to classify them into one of the four different species of malaria. Many techniques were implemented in the preprocessing stage to enhance the images. In the first part of the system morphological processing is applied to extract the Red Blood Cells (RBC) from blood images. The developed algorithm...
This paper reports a research for vision and 2D Lidar based autonomous docking for autonomous surface vehicle. The work is related to one of the tasks in 2016 Maritime RobotX Challenge. Docking bays are located by using Lidar scanning data and symbols are identified by template matching and comparing Euclidean distance in HSV color space. Before proceeding to the bay, lateral position alignment is...
The spatial join is usually processed in two steps: filter and refinement. The first creates candidate pairs based on the objects' abstractions, like object pairs having overlapping minimum bounding rectangles (MBRs). The second step then further checks each candidate pair whether the objects fit the join condition with their actual shapes. This two-step strategy prevents the disk I/O and CPU overhead...
The distance set is known to be a versatile local descriptor of shape. As this is simply a set of ordinary distances between sample points on a shape, it is easy to construct and use. More importantly, it remains invariant under many settings and deformations, unlike other typical descriptors. However, in shape matching with distance sets, there is a tradeoff between performance and computational...
Grabcut is an efficient image segmentation technique which facilitates easy user interaction by locating a rectangular bounding box to include the foreground objects. However, when the foreground objects exhibit similar colors to that of the background, it often fail to work to accurately classify the pixels within the interior region of the bonding box. In this paper, we propose an adaptive region...
Cavernous malformation or cavernomas is abnormal development of brain blood vessels and affect an estimated 0.5% of the world population. These could cause seizures, intracerebral hemorrhage and various neurological deficits based on the location of the lesion. Radiologists usually analysis brain magnetic resonance (MR) images to detect cavernomas. However, automatic detection of cavernomas by computer...
The puzzle game 2048, a single-player stochastic game played on a 4 × 4 grid, is the most popular among similar slide-and-merge games. One of the strongest computer players for 2048 uses temporal difference learning (TD learning) on so called N-tuple networks, where the shapes of the N-tuples are given by human based on characteristics of the game. In our previous work (Oka and Matsuzaki, 2016), the...
Renal biopsies form the gold standard of diagnostic and prognostic assessments of renal transplants. With the addition of new quantitative strategies to supplement renal biopsy interpretation such as gene array and metabolomics, the capability to incorporate all quantitative measures for clinical interpretation will require multi-dimensional analyses. Currently, renal biopsies are analyzed manually;...
This paper objective is to analyze LBP and CM for the comparative analysis in the field of content based image retrieval (CBIR). In this paper LBP and CM methods are used for the efficient retrieval of the images from the Wang database. All the 10 classes are used for the results comparison. LBP is used for better thresholding and CM is used with color dominant features for the efficient retrieval...
Different from traditional algorithms, the material modeling method utilizing luma Y in YUV color space has been developed in this paper. Our method, which interactively acquires material appearance from a single image, includes four main steps: removing highlight, recovering normal based on luma Y, estimating diffuse coefficient, setting glossiness and specular coefficient interactively. The experiment...
Programmable matter i.e. matter that can change its physical properties, more likely its shape according to an internal or an external action is a good example of a cybermatics component. As it links a cyberized shape to real matter, it is a straight example of cyber-physical conjugation. But, this interaction between virtual and real worlds needs two elements. The first one is to find a way to represent...
Tactile graphics are widely used for blind people to access visual information such as maps, diagrams, and graphs and so on. Tactile graphics are usually produced by sighted people, but some of the blind people want to produce tactile graphics by themselves to express their ideas or opinions. A special writing utensil, called a raise-writer, is used when a blind person draw tactile graphics alone...
The level of computer programs has now reached professional strength for many games, even for the game of Go recently. A more difficult task for computer intelligence now is to create a program able to coach human players, so that they can improve their play. In this paper, we propose a method to detect and label the bad moves of human players for the game of Go. This task is challenging because even...
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,...
This paper presents a novel head-mounted point-of-care diagnostic system for detection and continuous monitoring of Age-related Macular Degeneration (AMD). This wearable embedded open-source platform enables accurate monitoring of AMD by taking advantage of multiple standard graphical interface techniques such as Amsler Grid, Threshold Amsler Grid, Macular Computerized Psychophysical Test and Preferential...
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