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A fast algorithm that approximately estimates the circularity of a digital object is proposed. The algorithm is shown to be capable of incorporating the existing empirical measures of circularity, which are mostly based on area and perimeter computation. The minimum-area orthogonal cover of the object is obtained by a fast combinatorial technique that simultaneously provides approximate measures of...
In this paper, LBP and its variant were tested on Family Face Database which was constructed in the earlier work by the author [1] in the framework of personal image management system. The combination of LBP and other features were also tested for comparison. In addition, several illumination normalizing methods, dissimilarity measures and sub-block divisions were also tested in our framework.
Acute lymphoblastic leukemia (ALL) are a group of hematological neoplasia of childhood which is characterized by a large number of lymphoid blasts in the blood stream. ALL makes around 80% of childhood leukemia and it mostly occur in the age group of 3-7. 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...
This paper describes a new bubble segmentation algorithm based on shape from shading for in-situ microscopy. An in-situ microscope is an instrument to capture and analyze intensity images of cells inside of a bioreactor with minimal operator intervention and without the risk of culture contamination. For bubble segmentation, the closed bubble boundaries are first extracted by thresholding a depth...
We propose a novel Histogram Equalization (HE) to improve contrast of images. As most existing HE methods still suffer from over-enhancement caused by a quantum jump, the proposed method focuses on robustness to deal with the problem in various image conditions. To achieve the goal, we adjust the curve shape of the output mapping function by properly combining the curve shape of the null mapping function...
Segmentation in echo-cardiographic images is a difficult task due to the presence of speckle noise, low contrast and blurring. We present a novel method based on clustering performed in the feature space. A new feature-based image representation is proposed. It is obtained by computing a local feature descriptor at every pixel location. This descriptor is derived using the Radon-Transform to effectively...
This study proposes an algorithm where edge shape information is retrieved using a vote based rearranged chain code. The proposed algorithm rearranges and normalizes the chain code of edges to create a maximum vote based normalization chain code whose correlativity is reinforced. As it obtains cyclical maximum values from the chain code, rearranges them and flips code values according to the frequency,...
Traditional approaches to face recognition have utilized aligned facial images containing both shape and texture information. This paper analyzes the contributions of the individual facial shape and texture components to face recognition. These two components are evaluated independently and we investigate methods to combine the information gained from each of them to enhance face recognition performance...
In this paper, a novel approach for 3D building change detection is proposed using Digital Surface Model (DSM) generated from High spatial Resolution Spaceborne Stereo (HRSS) imagery. To improve the change detection performance, the difference image is denoised by the detected shadow mask and DSM hole mask. Several thresholding algorithms are compared to remove spurious change in altitude caused mainly...
This paper describes a system that enables recognition of road signs from image sequences previously obtained from a vehicle equipped with a variety of sensors. The first step uses colour and shape analysis to determine the regions of the image where potential road signs may be located. The second step uses a geometric model finder to recognize and classify the type of sign.
This paper discusses the exploitation of spline-based geometries in the synthesis of Ultra-Wideband (UWB) antennas. The synthesis is carried out in the time-domain by using the antenna efficiency and the system fidelity as indexes of the antenna performances. Numerical results demonstrate that the spline-based approach is more effective than other shape-free design techniques, such as the pixel-based...
A fast algorithm that approximately estimates the circularity of a digital object is proposed. The algorithm is shown to be capable of incorporating the existing empirical measures of circularity, which are mostly based on area and perimeter computation. The minimum-area orthogonal cover of the object is obtained by a fast combinatorial technique that simultaneously provides approximate measures of...
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...
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