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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...
The paper deals with the issue of action recognition as an application of the new 3D time-of-flight (ToF) camera, exploiting the special ability of the device to measure distances. Segmentation of moving people is straightforward from the distance information and subsequent steps of the processing chain follow in a classical way. We describe the first results on action recognition using ToF camera...
This paper presents a method for triangular and rectangular shapes detection in a road sign recognition system based on a three step algorithm: color segmentation, shape detection and neural network classification. The shape detector is based on the evaluation of the Sobel edges and Hough images in a region of interest detected by the color-based stage. During the tests performed the shape detector...
In this paper, we describe a system for approximate shape matching and symmetry (rotation and reflection) detection of geometric shapes represented as point clouds. Rather than using the least-squares distance as a measure of similarity between shapes, we use the Hausdorff distance between point sets as the underlying shape metric. This allows us to exploit methods from geometric pattern matching...
This paper provides a sorting method for the identification of leguminous weed seeds by using clustering. The image processing methods are made use of threshold segmentation, smooth processing and edge detection etc, as well as the image processing algorithm is delivered. According to the stability and genetic characteristics describes in phytotaxonomy for leguminous weed seeds, the feature set includes...
The advent of advanced processing techniques and high speed computers have led to the possibility of supplementary hyperspectral data with information about different kinds of object features that can be observed in the images, for example, shape and size. Other data sources, e.g., digital surface model from airborne laser scanning data, can provide height information for the object features. In this...
Tracking and counting multiple humans in complex situations is challenging. The difficulties are tackled with appropriate knowledge in the form of various models in our approach. Human motion is decomposed into its global motion and limb motion. Multiple human objects were segmented and their global motions were tracked in 3D using ellipsoid human shape models. An improved method aiming to estimate...
Spatial structure of objects is an important feature of images and making use of this feature properly is very important for the user in the retrieval system. However, only a third of the existing image retrieval systems use spatial features and those features are low precision features which are variant to rotation and shift. In this paper, a polygon-based spatial feature model is proposed to describe...
This paper addresses recent advances in computational tools for analysis of molecular imaging, medical imaging, and mass spectrometry data in cancer and cardiovascular diseases. These recently developed methods based on the principles of linear prediction, geostatistics, and fuzzy-set theory appear to be very useful sources of information for understanding the interactions and behaviors of complex...
This paper proposes a statistical estimation approach for the sporadic especially antitropic shapes of the source picture. In the field of GIS, the application such as the estimation of the green coverage rate in established districts will need the aid of the area estimation approach. Series of statistical estimation approaches have been put forward for different geographical regions, such as mountainous,...
Approximation metric is a significant factor for subjective quality improvement of polygonal vertex-based shape codec. Usually this metric is defined by absolute distance measure (ADM). ADM only considers the shortest absolute distance from candidate vertices on the original object contour segment to corresponding approximating line segment and ignores other visual characteristics of the contour segment...
Performance of traditional content-based image retrieval systems is far from userpsilas expectation due to the ldquosemantic gaprdquo between low-level visual features and the richness of human semantics. In attempt to reduce the ldquosemantic gaprdquo, this paper introduces a new effective image retrieval approach-the multi-step queries strategy-that facilitates retrieval of semantically similar...
A novel algorithm is introduced to track multiple circular objects present in video using Helmholtz perception principle. First, segmentation of circular objects in the video frame is performed using the perception principle and then same perception principle is applied to track the circular objects. For each circular object present in video, we have taken an assessment of the meaningfulness of the...
Body language is a connection way between humans. Computer vision based system try to facilitate human connections using human gesture interpretations. This paper proposes a method based on hand gesture recognition for device control using inner distance feature. Our method consists of three primary parts. 1) Hand segmentation and state identification. 2) Hand tracking, and 3) gesture recognition...
A novel touching cells splitting algorithm by using concave points and ellipse fitting is proposed to split circle-like or ellipse-like touching cells in this paper. The algorithm is divided into two parts. The first part is contour pre-processing, whose purpose is to find the concave points of the contour and separate the contour into different segments using the concave points. The second part is...
This paper describes a new approach by which a blind person can visualize the approximate shape of the image by hearing sound. Nowadays a lot of image shape approximation and representation algorithms are available, but these algorithms represent image contour as a sequence of straight line segments. This work proposed a digital image shape approximation method where a shape boundary is divided &...
Morphometry of human magnetic resonance images (MRI) is the process of measuring structural variations that occur in the brain. Morphometrics provide a mechanism to monitor and relate structural changes of anatomy to the onset or progression of a disease. It is therefor a very important area of research, specifically since MRI sequences are non-invasive and can be acquired in-vivo. This paper addresses...
Tracking multiple deformable objects simultaneously in a video is a challenging problem. The tracking is more difficult when the objects are touching each other while they are moving or suddenly appear in or disappear from a frame of the video. In this paper we propose a parametric active membrane, which can change its topology to detect and track multiple objects present in the video. The membrane...
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This matching procedure is often a preliminary step towards some computer vision applications, such as object detection and image registration for instance. The distances between the query descriptors and the database candidates...
We propose algorithms to extract groups of meaningful image level lines using Helmholtz perception principle. In this paper, the meaningfulness refers to the segmentation of circular and rectangular shapes in an image. We propose an objective assessment of meaningfulness of an image level line when the level line takes the shape of circle or rectangular segment. We have shown that a logical threshold...
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