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Vectorization is happened by a wave method. The wave method is to analyze the path of the way to the spherical wave in the image. At every step is analyzed offset center of point's mass forming a new step wave relative to the previous position of the center of mass. Offered of the perfected wave tracing algorithm is to use a spherical wave on the combined raster image while creating skeleton. The...
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...
This paper presents a process of knowledge Discovery from Data (KDD) applied on 2D Inverse Synthetic Aperture Radar (ISAR) images. This process is based on four crucial steps which are data acquisition, data pre-processing, data representation and data classification to make the final decision. We propose a new method for data representation based on combining mathematical morphology top-Hat, Thresholding...
Image segmentation refers to partitioning of image into multiple regions (segments) eventually leading to meaningful representation of image through which information can be extracted. Magnetic Resonance Imaging (MRI) is a non-invasive method which provides the detailed view of internal structure of tissues in the body at very high resolution. This paper focuses on extraction of brain tumor and its...
This paper describes approach to detect object using its shape and color information which is capable of detecting object rapidly and comparatively with good detection rate. This work divided into two part. First how to use color information to segment the object and secondly how to compare the contour of extracted object with contour of object to be the detected. Proposed method uses Fourier descriptor...
Cytogenetics deals with the study of human chromosomes. This helps in detecting birth defects. Segmentation of overlapped chromosomes in metaphase images is very important in chromosome analysis. This becomes a complex task when more than one overlap occurs in the chromosomes mainly due to the non rigid nature of the chromosomes. This paper proposes an algorithm for identification of overlap zone...
Today, Arabic is one of the big challenges in Optical Character Recognition (OCR) to support a digital communication. There are many research on arabic OCR, either printed or handwritten input. However, the research on arabic OCR with harakat is still little due to the high degree of difficulty in segmentation techniques. In this paper, we propose a new segmentation scheme of the arabic character...
As robots begin to collaborate with humans in everyday workspaces, they will need to understand the functions of tools and their parts. To cut an apple or hammer a nail, robots need to not just know the tool's name, but they must localize the tool's parts and identify their functions. Intuitively, the geometry of a part is closely related to its possible functions, or its affordances. Therefore, we...
The system capable of localizing and reading aloud text embedded in natural scene images can be very helpful for blind and visually impaired persons — providing information useful in everyday life, it increases their confidence and autonomy. Even though the currently available optical character recognition (OCR) programs are fast and accurate, most of them fail to recognize text embedded in natural...
Squamous cell carcinoma (SCC) of the lungs is one of the types of non-small cell lung malignancy. Non-small cell lung cancers accounts for about 80% of lung cancers, and of these, roughly 30% are SCC's, which are mostly seen in smokers. SCC is seen in the tissue that lines the air passages in the lungs. The work is based on the Segmentation and Detection of Squamous cell carcinoma of lung from sputum...
This paper presents a fresh food recognition system that utilizes the feature fusion extracted from food images captured from optical fibers embedded inside a chopping board. We exploit both local and global features including color, SURF and shape for image representation. In addition, we propose cost-based schemes for feature matching and the Borda count method for feature fusion. An experiment...
In this paper, we introduce a method for finger-spelling recognition system. The objective is to help the deaf or non-vocal persons to improve their skills on the finger-spelling. Many researches in this field have proposed methods mostly based on hand posture estimation techniques. We propose an alternative flexible method based on fuzzy finger shape and hand appearance analysis. By using depth image,...
The most widely used in the field of visual object recognition descriptive features are shape based features. Identify objects in the image, contour and region shape descriptors based on two main topics to be examined. In order to describe objects with lesser number of descriptors, linear or cubic curves are fitted to the contours of the objects. The end points of these finite length curves are usually...
Automatic segmentation of nanoparticles and determination of their shapes and sizes from transmission electron microscopy images are crucial for material analysis. Manual segmentation of nanoparticles produces subjective results and it is time-consuming. In this study, a new method is proposed for the automatic segmentation of the nanoparticles. First, background and foreground detection is employed...
Computerized analysis of microscopic cross sectional images of plant parts is useful for authentication and quality assessment of plant materials. The analysis involves segmentation of cells in the cross section, extraction of cell features and classification of cells. The segmentation of individual cells plays a major role in realistic estimation of cell parameters for identification and classification...
This paper addresses the generic object counting problem with object overlapping occurring at varied levels and degrees. The overall image containing the objects is segmented from the background. Thereafter a combination of parameters is extracted from each of the segments to construct a parameter space. The overall space formed by these vectors contains redundant dimensions due to the existence of...
In this paper we intend to present an original approach that incorporates geometric shape prior into region-based active contours. A Fourier-based shape alignment method is used to define prior knowledge from a reference shape. A set of complete and stable invariants to Euclidean transformations computed using Fourier transform on contours is used to choose the most suitable reference shape to the...
A novel automated framework for the segmentation of the left ventricle (LV) wall from contrast enhanced cardiac magnetic resonance images (CE-CMRI) is proposed. The framework consists of two main steps. First, the inner cavity of the LV is segmented from the surrounding tissues based on finding the Maximum A Posteriori (MAP) estimation of a new energy function using a graph-cuts-based optimization...
Iris segmentation is a component of iris recognition system, and noncircular iris is hard to segment accurately. This paper presents an iris segmentation algorithm using linear basis function and RANSAC (Random SAmple Consensus) which iterately derives fine iris boundary curves from coarse iris boundary points. The algorithm consists of three steps. In step 1, coarse center and radius of iris are...
In this paper, we propose a graph-based shape matching method for deformable objects. In our approach, a graph is generated from an over-segmented input image, and the shape matching problem is treated as finding an optimal cycle in the graph. Given a shape template and a graph generated from the input, a product graph is generated to consider every possible correspondence between graph edges and...
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