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Text in natural scenes provides many information for peoples and presents an essential tool to interact with their environment. Therefore, recognizing text existing in camera-captured images has become an important issue for many researches in the last decades. Currently, there isn't any available dataset of Arabic script text images in the wild. Since our aim is to help the research community in...
The brightness of objects of in infrared images slightly differ from the surrounding background and hence it makes a challenging task to segment pedestrians in infrared images. Recently Zhaoying Liu et al. have suggested an iterative method using multiple features for the segmentation of ships. We have proposed a modified iteration less method along with Gamma correction for the segmentation of pedestrians...
This paper presents a multi-label automatic GrabCut technique for the problem of image segmentation. GrabCut is considered as one of the binary-label segmentation techniques because it is based on the famous s/t graph cut minimization technique for image segmentation. This paper extends the automatic binary-label GrabCut to a multi-label technique that can segment a given image into its natural segments...
For linguistics related research on a language there is always a need for a large collection of database which includes all features of a language such as grammatical information, style of writing, syntax etc. Corpus provides a platform for investigation on a natural language. As compared to other languages very limited research work is done on Urdu language due to its segmentation dilemma and difficult...
Despite of intensive research on shape decomposition algorithms, their performance evaluation remains qualitative today. The intention of this work is to close this gap by proposing a general framework for quantitative performance evaluation of shape decomposition algorithms. The proposed framework is of supervised nature and based on a benchmark database from a large-scale psychological study with...
The intima-media thickness of the carotid artery (CIMT) is a validated marker of atherosclerosis. Accurate CIMT measurement can be performed by specifically designed computer algorithms. We improved a previous CIMT measurement technique by introducing a smart heuristic search for the lumen-intima (LI) and media-adventitia (MA) interfaces of the carotid distal wall. We called this new release as CARES...
Otsu's method has a disadvantage of time-consuming for image segmentation. In this paper, a simple but fast multilevel thresholding approach is proposed by means of extending the Otsu's method. We advocate that the gray-level range of an image is first divided into smaller sub-ranges, and that the multilevel thresholds are achieved by iteratively invoking this dividing process. Initially, the gray...
In this paper we propose a novel algorithm for 3D shape searching based on the visual similarity by cutting the object into parts. This method rectify some of the shortcomings of the visual similarity based methods, so that it can better account for objects with deformation, articulation, concave areas, and parts of the object not visible because of self occlusion. As the first step, the 3D objects...
Currently, video analysis algorithms suffer from lack of information regarding the objects present, their interactions, as well as from missing comprehensive annotated video databases for benchmarking. We designed an online and openly accessible video annotation system that allows anyone with a browser and internet access to efficiently annotate object category, shape, motion, and activity information...
The purpose of this paper is to analyze improved performance of our segmentation algorithm on IAM benchmark database in comparison to others available in the literature from accuracy and complexity points of view. Segmentation is achieved by analyzing ligatures which are strong points for segmentation of cursive handwritten words. Following preprocessing, a new heuristic technique is employed to over-segment...
The Prague texture segmentation data-generator and benchmark is a Web based (http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters, and to support new segmentation and classification methods development. The benchmark verifies their performance characteristics on monospectral, multispectral, bidirectional texture function (BTF) data and enables to test...
This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe that the dataset would be of help to researchers working in image segmentation and tracking in general. The motivation for creating this resource comes from the observation that while there are a large number of effective segmentation...
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