Medical images are noisy images and its processing is a complex one. The boundary detection of aortas in cardiovascular Magnetic Resonance (MR) images is difficult. This paper presents a vector image and edge map based boundary detection of aortas in cardiovascular MR images and is implemented using MATLAB. The performance of the edge vector and edge map boundary detection method for detecting ...

In this paper, we address the problem of presegmentation for object detection and statistics in remote sensing image processing. It plays an important role in reducing computational burden and increasing efficiency for further image processing and analysis. We follow the paradigm of object detection by Active Contour Method, then imposes structural constraints for the detection of the entire ob...

Now a day’s hand written character detection plays an important role. this paper presents an overview of future extraction method for offline detection of segmented characters selective of a feature extraction method. In this paper There are two techniques for identify hand written characters those are Active character detection(ACR) and contour Algorithms .These two techniques can be implement...

The purpose of this study was the evaluation of a computer algorithm for the automated detection of endocardial and epicardial boundaries of the left ventricle in time series of short-axis magnetic resonance images based on an Active Appearance Motion Model (AAMM). In 20 short-axis MR examinations, manual contours were defined in multiple temporal frames (from end-diastole to end-systole) in mu...

We present a novel method for shape detection in natural scenes based on incomplete contour fragments and nearest neighbour search. In contrast to popular methods which employ sliding windows, chamfer matching and SVMs, we characterise each contour fragment by a local descriptor and perform a fast nearest-neighbour search to find similar fragments in the training set. Based on this idea, we sho...

The problem considered in this paper is how to recognize similar objects based on the detection of patterns in pairs of images. This article introduces a new form of classifier based on approximation spaces in the context of near sets for use in pattern recognition. By way of introducing the basic approach, nonlinear diffusion is used for edge detection and object contour extraction. This form ...

In this paper we propose a novel framework for contour based object detection from cluttered environments. Given a contour model for a class of objects, it is first decomposed into fragments hierarchically. Then, we group these fragments into part bundles, where a part bundle can contain overlapping fragments. Given a new image with set of edge fragments we develop an efficient voting method us...

Qixiang Ye, Jianbin Jiao, Hua Yu1 {Qxye, jiaojb, Yuh}@gucas.ac.cn 1 Graduate University of Chinese Academy of Science Abstract. In the paper, we proposed a method for moving human detection in video frames by motion contour matching. Firstly, temporal and spatial difference of frames is calculated and contour pixels are extracted by global thresholding as the basic features. Then, skeleton temp...

We examine the mechanism that subserves visual contour detection and particularly its tuning for the spatial frequency of contour components. We measured the detection of contours composed of Gabor micropatterns within a field of randomly oriented distractor elements. Distractors were randomly assigned one of two spatial frequencies, and elements lying along the contour alternated between these...

A combined approach for facial feature extraction and determination of gaze direction is proposed that employs some improved variations of the adaptive Hough transform for curve detection, minima analysis of feature candidates, template matching for inner facial feature localization, active contour models for inner face contour detection and projective geometry properties for accurate pose dete...