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The shape deformation within the optic disk (OD) is an important indicator for the detection of glaucoma. In this paper, relevant disk parameters are estimated using the OD and cup boundaries. A deformable model guided by regional statistics is used to detect the OD boundary. A cup boundary detection scheme is presented based on the appearance of pallor in Lab colour space and the expected cup symmetry...
Generalized cylinder shapes are ubiquitous in biological systems and image processing techniques to identifies these tubular objects in 3D from biomedical imagery in various modalities is a general problem of interest. One such structure that exhibits branching tubular forms are neuronal networks; specifically, recent developments in microscopy imaging technology allow researchers to acquire massive...
In order to enhance the environmental awareness of pilots to some extent, runway detectors play a very important role in Synthetic Vision System. Based on the characters of infrared image, which has bad contrast and heavy noises, an improved multi-scale morphologic edge detector is proposed in this paper. It uses different size of structuring elements to extract the edge points of infrared runway...
We present two edge encoding schemes, namely 8-sector scheme and 16-sector scheme, for the operational rate-distortion (ORD) optimal shape coding framework. Different from the traditional 8-direction scheme that can only encode edges with angles being an integer multiple of ??/4, our proposals can encode edges with arbitrary angles. We partition the digital coordinate plane into 8 and 16 sectors,...
Simple yet effective feature extraction is crucial for content- based image retrieval (CBIR). In this paper we propose a novel type of regional feature, which is called edge region color autocorrelogram (ERCAC). It aims to combine the color and shape characteristics of image jointly, by capturing both color distribution of image and spatial correlation of edge points with a structure-based early fusion...
This paper presents a boundary representation algorithm, the algorithm is developed for Nastaliq characters, but is it general in nature and can be used for boundary representation of any object. The basic idea is that instead of storing and computing the chain code of each pixel, segments of the object are computed by using corner points and a new B-Rep code is developed for the segments not for...
This paper introduces a novel segmentation scheme based on the template-matching method is used for identifying cancerous part in the mammogram image. These templates are defined according to the shape, and brightness of the masses or micro calcifications. Earlier to template matching, median filtering enhances the mammogram images, Edge detection operators such as Sobel, Prewitts, Laplacian and Laplacian...
In this paper, the software algorithm to achieve real-time video image acquisition, processing and identification is studied and discussed in-depth. Through access to documents, a image acquisition and processing system with DSP processor as the core is given to achieve real-time video image acquisition, processing and identification. And according to the target image characteristics of the cave,...
The rapid growth in communication technology leads to an effective way of sharing ideas and information in form of speech or image. Understanding this information from any kind of images has become important. Text in a digital image contains important information to the scene understanding and can be useful for many applications. Detecting and extracting such text is a difficult task. The main problem...
In this paper, a multi scale Gaussian edge detector is constructed. According to transfer properties across scales of the wavelet modules of the signal edge and the noise edge, we combine the properties of edges in different scales and propose a multi scale edge fusion algorithm consisting of edge transfer, edge inherit and edge growth. The edge is an important content of obtaining information of...
Consistent endocardial border segmentation in 3D echocardiography is a challenging task. One of the major difficulties rises due to the fact that the trabeculated structure of the endocardium causes the endocardial intensity profile characteristics to change over a cardiac cycle. In this paper, we present a hybrid edge detection approach using both max flow/min cut (MFMC) and step criterion (STEP)...
Computation of functional regional scores requires proper identification of LV contours. On one hand, manual segmentation is robust, but it is time consuming and requires high expertise. On the other hand, the tag pattern in TMR sequences is a problem for automatic segmentation of LV boundaries. We propose a segmentation method based on a predictor-corrector (Active Contours - Shape Models) scheme...
In this work, segmentation is an intermediate step in the registration and 3D reconstruction of the lung, where the diaphragmatic surface is automatically and robustly isolated. Usually, segmentation methods are interactive and use different strategies to combine the expertise of humans and computers. Segmentation of lung MR images is particularly difficult because of the large variation in image...
Contours of benign breast masses and malignant tumors in mammograms differ substantially in their shape and complexity; the former are usually round and smooth, whereas the latter are typically spiculated and irregular. We demonstrate the usefulness of fractal analysis via a frequency domain approach applied to one-dimensional signatures of the two-dimensional contours of breast masses. The 1/f model...
An automatic detector that finds circular dining plates in chronically recorded images or videos is reported for the study of food intake and obesity. We first detect edges from input images. After a number of processing steps that convert edges into curves, arc filtering and grouping algorithms are applied. Then, convex hulls are identified and the ones that fit the description of ellipses corresponding...
In this paper problem of accurate segmentation of images presenting melted specimens of metal is considered. Firstly the theory of thermal phenomena influence on recorded images is explained. A review of most popular edge-based segmentation methods is provided. Results of applying drop shape analysis algorithm to segmented images are presented, analyzed and discussed.
This paper introduces a method of hand-raising gestures detection in indoor environments, using shape and edge features. Past approaches have detected the gestures through recognizing the action for isolated or seated persons. Here, to deal with movements, non-rigidity and partially occlusions of human bodies, the gestures are detected by searching for raised hands and arms rather than recognizing...
This paper presents 2D shape matching technique using hierarchical tree structure extracted from shock graph that in turn extracted from the skeleton of the shape of interest. Object recognition and shape matching are important issues in the field of image processing. Extraction and application of skeleton of a shape is widely used in these fields. In this paper shape representation, matching and...
The paper proposes an enhanced morphological contour/edge representation algorithm for the representation of 2D binary shapes of digital images. The concise representation algorithm uses representative lines of different sizes and types to cover all the significant features of the binary contour/edge image. These well-characterized representative line segments, which may overlap among different types,...
This paper presents a novel sub-pixel edge detection and center localization algorithm to improve the resolution and accuracy for micro-assembly systems. There are three steps to realize the algorithm. First the invariant moment is used to describe the feature of micro-parts and the edge of the micro-parts is extracted at pixel level by using Canny operator. Secondly, the image information of gradient...
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