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Infantile hemangiomas (IH) are a type of benign vascular tumors that appear within the first 5 months of life. The assessment of lesion size and its evolution in time is done manually by the physician, using a ruler, and this measurement is not very accurate. This paper presents a method for automatic measurement of the IH size. The work is divided in two parts: automatic computation of the size of...
This paper presents a research on the practical and advanced processing, which is supported by the geometric analysis for the features extraction in images of finger vein patterns in order to contribute to a system that minimizes the degree of phishing. This article develops a method of hybrid curves, which are supported on the tangent and secant curves, based on the Hough transform. A standardized...
There are many conventional methods for book detection and title recognition from bookshelf images. But most of these methods are worked on single row bookshelf images. Here this paper presents a technique for segmenting books spine and recognizing book title from multi-row bookshelf images. Horizontal edges are detected and extracted from the images as to indicate individual rows. These separated...
Determining the centroids of circular marks is a problem that arises in many applications, for example, fluid mechanics, computer graphics, coordinate meteorology, statistics, etc. The accuracy of determining the centroids of circular marks in images is important for the overall accuracy of measurements. Therefore, the aim of the present work is to determine the centroids of these circular marks with...
In this paper we propose a novel method to automatically detect the polyp's ROI (Region Of Interest) based on a Gaussian Mixture Model, Esperance Maximization algorithm segmentation, Hough transform and region growing. Our main objective through this work is to help in the early detection and precise analyze for the polyps diagnosis, which is a huge apport for the health care. The experimental results...
Circle detection from digital images is a necessary operation in many robotics and computer vision tasks to facilitate shape and object recognition. We propose and analyze a novel method, based on line segment detection and circle completeness verification, to detect circles in images. The key idea is to use line segments instead of raw edge pixels to get the circle candidates followed by a verification...
For intelligent vehicle systems, lane detection is still a challenging task because it must cope with various road environments. In this paper, we propose a reliable method with Gabor filters. The proposed approach consists of two step. In the first step, the vanishing-point locations is estimated by the texture feature based method. The key attributes of this method consist of the dominant texture...
The aim of this work is to improve the performance of iris recognition systems by using hyperspectral iris images. The commercial iris recognition systems that already exist mostly use the information of iris in the infrared band and the performance of these systems more often depends on segmentation process. Thus, in this work, more reliable and effective segmentation is attempted by utilizing iris...
Vertigo is a false sense of motion; the cause of this symptom is very complex and it needs a complementary exam. In this study, a vestibular diseases analysis method is proposed from videonystagmography (VNG) applications using an estimation of pupil movements in the case of uncontrolled motion to prove an efficient and reliable diagnosis results. Firstly, we applied a robust segmentation to extract...
This paper presents a navigation system for an Autonomous Surface Vessel (ASV) capable of maneuvering in riverine environments. A real time vision-based navigation system is used for ASV to travel along the river. The ASV is equipped with propeller and rudder to control the speed and heading direction, respectively. Continuous stream of images are captured by camera that mounted on ASV and sent to...
The procedure for counting colonies is often performed manually and the process is lengthy and tedious. For that reason, several methods that rely on digital images for automatically counting cells and bacteria colonies have been proposed. Fully automated and high throughput hardware imaging instruments are also available, but such machines are extremely costly. In this paper, we introduce a mobile...
Hough Transform (HT) is commonly used to solve the line extraction problem. Although images are discretized at the onset, the Hough domain is continuous and in practice it has to be partitioned into cells. It has been suggested that the optimality of the size (resolution) of those cells would depend on the amount noise in the image. In this paper, we study the effect of discretization on the success...
Structural analysis of the vascular architecture of the retina facilitates the diagnosis of retinopathy because retinopathy affects the blood flow velocity. To this end, blood flow velocity in the major temporal arcade (MTA) vessel in retina may be measured to detect blood flow velocity changes. For this measurement, separation of the MTA vessel is a necessary step. We propose methods for identifying...
Runway is the most significant sign of airport because of its obvious line and edge features, so traditional methods always use the Hough transform to accomplish the detection. Given the problems that Hough transform needs to consider a lot of factors which spends a lot of time, and there are any breakpoints in results, an improved algorithm based on Hough transform is proposed. First, using the idea...
In this paper, we present the modified method of detecting text lines in handwritten documents based on the Block-Based Hough Transform. The algorithm has the practical application in the manuscript author identification. The proposed technique consists of three steps: preprocessing, detecting of potential text lines and eliminating the false ones. The first step covers the following operations: image...
Goal posts detection is a critical robot soccer ability which is needed to be accurate, robust and efficient. A goal detection method using Hough transform to get the detailed goal features is presented in this paper. In the beginning, the image preprocessing and Hough transform implementation are described in detail. A new modification on the θ parameter range in Hough transform is explained and...
In this work, we propose an efficient, mere algorithm for detection of a soccer ball and players. In long shots, existing algorithms may not be able to detect the ball when it merged with the lines in the field. So, we introduce a method that can separate lines from the ball and segment the ball competently. Primarily, the ground and the edges of the original image are detected. Then, Hough transform...
This paper presents a novel vision based technique for navigation of agricultural mobile robots in orchards. In this technique, the captured color image is clustered by mean-shift algorithm, then a novel classification technique based on graph partitioning theory classifies clustered image into defined classes including terrain, trees and sky. Then, Hough transform is applied to extract the features...
The paper presents an improved injector spray characterization method using image analysis. The existing methods of image analysis such as granulometry and Hough transform are not efficient. The size of heavily overlapped spray particles cannot be accurately determined using granulometric methods. The Hough transform method is better in separating the overlapped droplets. But it produces erroneous...
Automatic detection and recognition of road signs is an important component of automated driver assistance systems contributing to the safety of the drivers, pedestrians and vehicles. Despite significant research, the problem of detecting and recognizing road signs still remains challenging due to varying lighting conditions, complex backgrounds and different viewing angles. We present an effective...
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