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Hand gestures are used widely in communication. An important example is using in the sign languages. Many hand gesture silhouettes are the part of other hand gesture silhouettes. For example, V sign gesture is a part of the high five gesture, because we can create high five gesture silhouettes from the V sign gesture silhouettes by extending the other three fingers. Here we propose the partial contour...
Knowing the terrain is vital for small autonomous robots traversing unstructured outdoor environments. We present a technique using 3D laser point clouds combined with RGB camera images to classify terrain into four pre-defined classes: grass, sand, concrete, and metal. Our technique first segments the point cloud into distinct regions and then applies a simple classifier to determine the classification...
This paper motivated to design and develops an automatic model for multi-class breast tissue segmentation in breast mammogram images. Various breast tissues are categorized by a novel texture features such as PTPSA-[Piece-wise Triangular Prism Surface Area], intensity difference and regular-intensity in mammogram images. Using CRF-[Classical Random Forest] method segmentation and classification of...
We propose a novel hybrid otitis media (OM) computer aided detection (CAD) system, designed to aid in the self-diagnosis of various forms of OM. OM is a prevalent disease in both children and adults. Our system is able to differentiate normal ear from acute otitis media (AOM), otitis media with effusion (OME) and the multi-categories of chronic otitis media including perforation, retraction, cholesteatoma,...
Terrain segmentation is still a challenging issue in pattern recognition, especially in the application of high resolution satellite images. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks such as high processing time, low accuracy on detection of targets on the large scaled images such as high resolution satellite images. In this paper,...
Traditional hyperspectral classification methods based on per-pixel spectral or texture features fail to take account of spatial structure and spatial correlation characteristics. In order to overcome this problem, a mixed classification method is proposed which incorporates spatial information by fusion of object-based segmentation with pixel-wise classifier. This paper tentatively assesses two mixed...
According to the ‘salt and pepper’ effect of pixel-based multi-feature classification and over-smoothing of ground details of object-based image analysis, in this paper, an approach, which fuses pixel-based features and multi-scale object-based features is proposed to improve the accuracy of image classification. (1) Firstly, mean shift algorithm is used to segment the image to obtain over-segmentation...
Land cover classification provides useful information of vegetation for land surface models especially in arid areas. Due to the complex landscapes in the downstream area of the Heihe River basin in northwest China, accurate land cover classification plays a key role in better understanding of the eco-hydrological processes, identification of water consumption by different land cover types and effective...
Segmentation of aerial images has been a challenging task in recent years. This paper introduces a simple and efficient method for segmentation and classification of aerial images based on a pixel-level classification. To this end, we use the Gabor texture features in HSV color space as our best experienced features for aerial images segmentation and classification. We test different classifiers including...
Artificial touch sensing system for various Human Computer Interaction (HCI) applications is required to be capable of recognizing various parameters viz. object shape, size, texture and surface. However, only identifying object-shapes is not sufficient for object recognition. It is necessary to distinguish the object shapes according to their dimensions or sizes. Thus in the present work object shapes...
We describe how a task in computer vision can be effectively resolved by employing Genetic Algorithm. This paper focuses on the problem of semantic segmentation of digital images. We propose to use an improved genetic algorithm for the learning parameters of weak classifiers in a boosting learning set up. We propose a new encoding and genetic operators in accordance with this problem. Beside that,...
Handwriting stroke reflects how the author faced his world and the emotional honesty. By examining all elements of handwriting and interpreting them separately or integrated, we could generate a sketch of the writer's character traits, emotional disposition and social style using standard of graphology. As image, the analysis of graphology is divided into two approaches that graphics features and...
The chromosome segmentation is the most important step in the automatic chromosome analysis system. In this paper, a few basic chromosome segmentation algorithms are investigated firstly. As a common phenomenon, the partial touching and overlapping chromosomes occur in almost every metaphase images. So, as a difficult yet vital problem, the algorithms for overlapping chromosomes are discussed in detail...
Chronic lymphocytic leukemia (CLL) is the most common type of blood cancer in Canadian adults. The relative 5-year survival rates for CLL in Canada is decreasing. CLL cell morphology maybe similar to normal lymphocytes and require a hematopathologist examination for diagnosis. There are a low number of related works on image analysis in CLL. This paper focuses on lymphocyte color cell segmentation...
Nowadays everywhere remote sensing images are used for wide variety of applications, creation of mapping products for military and civil applications, evaluation of environmental damage, monitoring of land use, radiation monitoring, urban planning, growth regulation, soil assessment, and crop yield appraisal. A few number of image classification algorithms have proved good precision in classifying...
Two important issues are still open within the field of hyperspectral image segmentation. On one hand, most methods usually perform an early projection of the hyperspectral information onto a less informative two dimensional representation. On the other hand, there is usually very little and dubious ground truth available, making it very hard to train and tune appropriate segmentation and classification...
Blood tests are of the most important and often requested clinical examinations. Manual microscopic assessment is a must do when a blood sample is suspicious of abnormality. This manual process is tedious, time consuming and subjective. Automating microscopic blood classification is desirable to help the pathologists to speed-up and enhance the results accuracy. Segmentation is the first and most...
The processing of microscopic tissue images and especially the detection of cell nuclei is nowadays done more and more using digital imagery and special immunodiagnostic software products. Since several methods (and applications) were developed for the same purpose, it is important to have a measuring number to determine which one is more efficient than the others. The purpose of the article is to...
Hand posture classification is popular in systems that require an effective human-machine interface. Previous classification algorithms suffer from inaccurate results when it is difficult to distinguish a hand from a wrist. To overcome this difficulty, this paper proposes a new algorithm for hand posture classification that uses a histogram of convex defects around the segment of a hand to be classified...
We present a color segmentation approach based on a two-dimensional color map derived from the input image. Pathologists stain tissue biopsies with various colored dyes to see the expression of biomarkers. In these images, because of color variation due to inconsistencies in experimental procedures and lighting conditions, the segmentation used to analyze biological features is usually ad-hoc. Many...
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