307 research outputs found
Can the Subaltern ‘Do’ DH? A Reflection on the Challenges and Opportunities for the Digital Humanities
No full textThis is the accepted author manuscript of a chapter included in the forthcoming volume Global Debates in Digital Humanities (Fiormonte, D., Ricaurte, P. and Chaudhuri, S., eds., University of Minnesota Press, spring 2022. This chapter interrogates whether the digital humanities have fulfiled its "promise" , and argues that productive theoretical interrogation can take place, and often does take place, alongside practice
Global Contour and Region Based Shape Analysis and Similarity Measures
No full textMore and more images have been generated in digital form around the world. There is a growing interest in finding images in large collections or from remote databases. In order to find an image, the image has to be described or represented by certain features. Shape is an important visual feature of an image. Searching for images using shape features has attracted much attention. There are many shape representation and description techniques in the literature. Object classification often operates by making decisions based on the values of several shape properties measured from an image of the object. Shape analysis is a useful tool for recognition of an object. This paper treats various aspects that are needed to solve shape matching problems: choosing the precise problem of global contour and region based shape analysis, selecting the properties of the similarity measure that are needed for the problem and choosing the specific similarity measure to compute the similarity.Defence Science Journal, 2013, 63(1), pp.74-88, DOI:http://dx.doi.org/10.14429/dsj.63.376
The limits of my language are the limits of my world
No full textA profession from a mere private teacher to an International Linguistic Author, Rituparna Ray Chaudhuri, whom Literary World often calls an “innate creator” or ‘Divine Vengeance’, has proved herself when she had won to her surprise Harvard World Records and London Book of World Record. Living now in a suburb called Madhyamgram (West Bengal), this Semantic Scholar and Writer on English and British Literature, has widely-acclaimed her name in World of Literature with title ‘Blood is Memory without Language: A Litterateur’ to The Daily Guardian. Precious Kashmir has called this Author, “Art is never finished; only abandoned” means “Artists are never really done with a project – there's always more that can be improved.
The limits of my language are the limits of my world
No full textA profession from a mere private teacher to an International Linguistic Author, Rituparna Ray Chaudhuri, whom Literary World often calls an “innate creator” or ‘Divine Vengeance’, has proved herself when she had won to her surprise Harvard World Records and London Book of World Record. Living now in a suburb called Madhyamgram (West Bengal), this Semantic Scholar and Writer on English and British Literature, has widely-acclaimed her name in World of Literature with title ‘Blood is Memory without Language: A Litterateur’ to The Daily Guardian. Precious Kashmir has called this Author, “Art is never finished; only abandoned” means “Artists are never really done with a project – there's always more that can be improved.
Object Area-based Method for Elliptic and CircularFit of a Two-tone Image
No full textCircular or elliptic fit of an object is important in target detection, shape analysis, and biomedical imageanalysis problems. Here, the problems of fitting circle or ellipse to an object in 2-D are considered. At first,the problems is converted to quadratic equation of single unknown by some constraints. Then its solutionsfor all the border points of the object are found and averaged. The major and minor axes of ellipse are presentedby least sum perpendicular distance of all points of the object. The other unknowns are found using theequations of constraints. In the proposed method, the main constraint used for the circular and elliptic fit isthat the area of the fitting circle or ellipse is equal to the area of the object to be fitted. The approach appearsto be less sensitive to the object border noise and is computationally attractive. Some examples are presentedto show the effectiveness of the approach. A measure of degree of circularity, ellipticity, etc in fuzzy settheoretic framework is also proposed.Defence Science Journal, 2008, 58(6), pp.710-714, DOI:http://dx.doi.org/10.14429/dsj.58.169
Split-and-merge Procedure for Image Segmentation using Bimodality Detection Approach
No full textImage segmentation, the division of a multi-dimensional image into groups of associated pixels, is an essential step for many advanced imaging applications. Image segmentation can be performed by recursively splitting the whole image or by merging together a large number of minute regions until a specified condition is satisfied. The split-and-merge procedure of image segmentation takes an intermediate level in an image description as the starting cutest, and thereby achieves a compromise between merging small primitive regions and recursively splitting the whole images to reach the desired final cutest. The proposed segmentation approach is a split-andmerge technique. The conventional split-and-merge algorithm is lacking in adaptability to the image semantics because of its stiff quadtree-based structure. In this paper, an automatic thresholding technique based on bimodality detection approach with non-homogeneity criterion is employed in the splitting phase of the split-and-merge segmentation scheme to directly reflect the image semantics to the image segmentation results. Since the proposed splitting technique depends upon homogeneity factor, some of the split regions may or may not split properly. There should be rechecking through merging technique between the two adjacent regions to overcome the drawback of the splitting technique. A sequential-arrange-based or a minimal spanning-tree based approach, that depends on data dimensionality of the weighted centroids of all split regions for finding the pair wise adjacent regions, is introduced. Finally, to overcome the problems caused by the splitting technique, a novel merging technique based on the density ratio of the adjacent pair regions is proposed. The algorithm has been tested on several synthetic as well as real life data and the results show the efficiency of the segmentation technique.Defence Science Journal, 2010, 60(3), pp.290-301, DOI:http://dx.doi.org/10.14429/dsj.60.35
Sustainability of Open-Access Author Fund: A Case Study of Faculty Usage Patterns and APC Cost
No full textThe California State University, Los Angeles Library established a pilot program on Open-Access (OA) Author Fund in 2018. This article presents information about the management of the University Library\u27s Open-Access Author Fund. Particularly, this article focuses on faculty usage of the OA Author Fund by colleges, disciplines, and publishers. Additionally, the authors examined the article processing charges (APCs) and self-archiving policies of the top open-access journals where Cal State LA faculty publish. This analysis will assist the University Library’s Open-Access Group to understand if the University Library needs to provide additional funding and explore new ways to sustain the funding. Our research also revealed that librarians in specific academic areas can be more proactive in educating, explaining, and initiating conversations with disciplinary faculty about the benefits of open-access publications
Frequency and Spatial Domains Adaptive-based Enhancement Technique for Thermal Infrared Images
No full textLow contrast and noisy image limits the amount of information conveyed to the user. With the proliferation of digital imagery and computer interface between man-and-machine, it is now viable to consider digital enhancement in the image before presenting it to the user, thus increasing the information throughput. With better contrast, target detection and discrimination can be improved. The paper presents a sequence of filtering operations in frequency and spatial domains to improve the quality of the thermal infrared (IR) images. Basically, two filters – homomorphic filter followed by adaptive Gaussian filter are applied to improve the quality of the thermal IR images. We have systematically evaluated the algorithm on a variety of images and carefully compared it with the techniques presented in the literature. We performed an evaluation of three filter banks such as homomorphic, Gaussian 5×5 and the proposed method, and we have seen that the proposed method yields optimal PSNR for all the thermal images. The results demonstrate that the proposed algorithm is efficient for enhancement of thermal IR images.Defence Science Journal, Vol. 64, No. 5, September 2014, pp.451-457, DOI:http://dx.doi.org/10.14429/dsj.64.687
william shakespeare's othello: the way i thought of critical...@article{chaudhuri2015william, title={william shakespeare's othello: the way i thought of critical...}, author={Chaudhuri, Rituparna Ray}, year={2015}
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