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Many attempts have been made to identify the region of interest in an image. In this paper, we have provided a new approach for ROI detection using the output of image annotation. Our claim is that because ROI is a subjective concept, a method should be used to diagnosis human mental models and for this purpose, we have used KNN base annotation in our method. Because many people in pictures that are...
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...
This paper deals with digital archiving of cemetery heritage. A built cemetery is a tangible evidence of historical and cultural periods through the style and the shape of tombs. It gives quantitative information on the local population, about its history (by reading birth and death dates), its culture (by analysing name typology) and its temporal evolution (by using the family names written on the...
This paper proposes a tracking method based on parameters obtained from multiple blobs. The multiple blobs are derived or obtained from segmenting a single blob into multiple blobs or multiple regions that have the same color information where these regions generally remain the same as the target moves. The target being tracked is a person or human walking through the camera view field where the number...
In this paper, we propose a new IDPMS (In-Domain Protection and Management Scheme) to solve the multi-user problem and rights leak in the Digital Rights Management (DRM) systems. The content is divided to content objects to be delivered to the client devices without the need of being kept by the device. The proposed IDPMS defined a new DRM vector to replace the initial vector of the encrypt/decrypt...
We propose a method to extract salient contour groups from cluttered regions using Markov Random Fields. Our technique delineates smooth, long, and elliptical curves out of clutter. To extract salient curves, we use the following perceptual rules: smoothness, proximity, co-circularity, co-elliptic, and length. Our method consists of the following steps: obtaining individual smooth contours along their...
Gradient vector flow (GVF) and its generalization have been widely applied in many image processing applications. The high cost of GVF computation, however, has restricted their potential applications to images with large size. In this paper, motivated by progress in fast image restoration algorithms, we reformulate the GVF computation problem as a convex optimization model with an equality constraint,...
Many chronic diseases, such as heart diseases, diabetes, and obesity, can be related to diet. Hence, the need to accurately measure diet becomes imperative. We are developing methods to use image analysis tools for the identification and quantification of food consumed at a meal. In this paper we describe a new approach to food identification using several features based on local and global measures...
An a posteriori tracing method for broken neurite reconstruction is proposed. It uses local line structure cues from three vector fields; diffusion tensor vector field, Hessian eigenvector field, and diffused gradient vector field. The vector fields are built to give directionalities of line structures with gaps in different configurations. The method uses an iterative search and extend approach to...
This paper presents a versatile algorithmic building block that allows to significantly improve intermediate and final results of numerous variations of segmentation. The segmentation ‘context’ can be very different in terms of the used data modality (gray scale, color, texture features, depth data, motion, …), in terms of single frame vs. sequence segmentation, and in terms of the used initialization...
A vector-based method for making tailpiece is proposed to correct the image blank areas left by rotation. Using the image quality threshold δ to determine the degree of similarity γ of the vector image, an image is converted to vectors of cubic curve combination; after rotating vector-graph, we expand the curves to the blank area by adjusting the vector parameters, and grow texture accumulation areas...
The issue of target localization by means of texture analysis is addressed. First the texture feature extraction based on multi-channel Gabor filter decomposition and the rotation invariant representation of Gabor features are analyzed in the view of their ability of classification. After that, a method based on Gabor features and neural network classifier is proposed. The method is composed of two...
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