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Acute lymphoblastic leukemia (ALL) is the most common hematological neoplasia of childhood and is characterized by uncontrolled growth of leukemic cells in bone marrow, lymphoid organs etc. The nonspecific nature of the signs and symptoms of ALL often leads to wrong diagnosis. Diagnostic confusion is also posed due to imitation of similar signs by other disorders. Careful microscopic examination of...
In this paper we have addressed the problem of deploying wireless sensors into any random irregular sensing terrain. Traditional deployments often assume homogeneous environments, which ignore the effect of terrain profile as well as the in-network obstacles situated randomly like buildings, trees, roads and so on. Only an effective and efficient deployment of nodes will leads to proper routing as...
Conventional shape from shading (SFS) algorithms are unable to deal with multi-color image satisfactory. This is because the assumption of constant surface albedo in the algorithms is not applicable to multi-color images. This paper proposes a new SFS approach for multi-color images through a segmentation-based shading recovery technique. With this technique a gray image is firstly extracted from...
This paper describes a new simple logical method for finding perspective rectangle structural shapes on the image. The proposed method uses a one (1) dimensional array to analyze the rectangular shape. Today machine vision is a useful tool for external feature measurement since it provides a reliable and objective means for evaluating products based on visual features. An ultimate goal of this project...
Wireless Capsule Endoscopy (WCE) is a state-of-the-art technology to examine the entire gastrointestinal tract. Its main disadvantage is long review time for physicians to diagnose diseases, as it will produce over 55,000 frames per patient for one examination. In this paper we propose a novel strategy to segment WCE video clips based on abnormality. The new scheme is based on a non-parametric corner...
Tuberculosis (TB) is a communicable disease for which early diagnosis is critical for disease control. Manual screening for TB identification involves a labor-intensive task with poor sensitivity and specificity. To improve the diagnostic process we develop an automated system for TB identification, which consists of an automatic microscope, an image-based autofocus algorithm and an image-based TB...
This paper presents a simple and computationally efficient method for plant species recognition using leaf image. This method works only for the plants with broad flat leaves which are more or less two dimensional in nature. The method consists of five major parts. First, images of leaf are acquired with digital camera or scanners. Then the user selects the base point of the leaf and a few reference...
In this paper, we describe a new optimization method which we call Multiple Birth and Cut (MBC). It combines the recently developed Multiple Birth and Death (MBD) algorithm and the Graph-Cut algorithm. MBD and MBC optimization methods are applied to the energy minimization of an object based model, the marked point process. We compare the MBC to the MBD showing the advantages and disadvantages, where...
This project presents Field Programmable Gate Array (FPGA) based solution for an object tracking system. The tracking design was applied in FPGA as rich information of FPGA offers one of the more powerful methods in object tracking. Object tracking system has a very useful application in many real world situations which require object detection. In general, a lot of different algorithms are used in...
The traditional segmentation method, that is, image-based segmentation method primarily use the continuity of grey-level, texture, and bounding contours. Although the method generates impressive results, however, it still often fails to capture meaningful and sometimes crucial parts especially when the ground is complicated and the shape of objects are variable. In this paper we utilize the current...
This paper presents a novel approach for interest point and region detection which is invariant to affine transformations. Such transformations introduce significant changes in the point location as well as in the scale and the shape of the neighborhood of an interest point. Our approach allows to solve for these problems simultaneously. The approach is based on three key ideas: 1) Interest points...
We have developed image analysis methods to analyse the morphology of the budding yeast (Saccharomyces cerevisiae) cell. Experiments were performed on four deletant strains: ΔYLR371w, ΔYDR349c, ΔYLR192c, and ΔYDR414c. Our results show that our image analysis software provides an efficient way to automatically obtain quantitative morphology features of yeast cells. Our research show significant differences...
This paper presents a novel traffic sign recognition system comprising of: (i) Color/shape classification, (ii) Pictogram extraction, (iii) Features selection and, (iv) Lyapunov Theory-based Radial Basis Function neural network (RBFNN). In the proposed system, traffic signs are first segmented and classified with regard to its unique color and shape in order to partition a large set of data into smaller...
When mosaicking two adjacent orthophotos, the transition from one orthophoto to the other is cannot be seen. The requirements of such an optimal seamline include high color similarity and high texture similarity. In this paper, a novel method integrated snakes and bresenham is presented. The calculation of photometric energy in the snake model considers not only the discrete points, but all the points...
We presented an application of SURF operator and epipolar constraint for stereo matching of binocular citrus images. First, R-B space images were achieved by linear transform of original images' color space. Second, fast Hessian-matrix detector was used to detect the interest points and the SURF descriptor was used to describe the points' features. Finally, Euclidean distance and the epipolar constraint...
This paper discusses some defects in GDI/GDI+ rendering functions in VC6/2003/2005/2008 of Windows XP/Vista/7. One type of defect is GDI's drawing line functions, such as LineTo and PolyLine, which are always missing one pixel at the end point. Another type of bug is GDI's drawing/filling rectangle/ellipse functions and filling polygon function, i.e. Rectangle, Ellipse and FillRgn, which are always...
Handwriting identification is a hot topic in the field of pattern recognition. In this paper, we propose a novel method for off-line Chinese handwriting identification based on stroke shape and structure. To extract the features embedded in Chinese handwriting character, two special structures have been explored, which are bounding rectangle and TBLR quadrilateral. 16 features are extracted from the...
We present a new technique for segmenting brain nuclei from MRI brain images. Our method performs the segmentation using a combination approach of thresholding with morphological operators. The MRI brain image contains skull and noisy background. The latter have to be removed for further analysis. Elimination of any obstacles and noise from the image is the primary function of the morphological operators...
In recent years, researchers have paid more and more attention to computer vision, pattern recognition and human-computer interaction. Recognizing barcode in real-time video is an embodiment of these techniques. This paper presents an algorithm which can locate barcode region in complex background through region-based image analysis. Being different from traditional region-based image analysis, the...
Many existing car recognition algorithms are aiming at front/back and side view car detection. In this paper, an oblique car recognition algorithm is proposed. The algorithm is designed based on the common knowledge of the car, such as shape, contour, structure and so on. The experimental results of many oblique car images show that our method has fine accuracy in oblique car recognition.
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