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Karyote segmentation, a significant procedure to computer aided leukemia diagnosis, constitutes a difficult problem due to the morphological complexity, categorical diversity and distributional density of bone marrow cells. Most of the current techniques are based on the internal consistency of the karyote's intensities with little or none considerations on color or texture properties. However, neither...
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...
Image segmentation is a fundamental process in computer vision applications. This paper presents a novel method to deal with the issue of image segmentation. Each image is first segmented coarsely, and represented as a graph model. Then, a semi-supervised algorithm is utilized to estimate the relevance between labeled nodes and unlabeled nodes to construct a relevance matrix. Finally, a normalized...
Motion analysis for moving object from UAV aerial images is still an unsolved issue in computer vision research field due to fast abrupt motion of object and UAV, low resolution, noisy imagery, cluttered background, low contrast and small target size. The main reason for the inability to handle motion is the weakness of existing approaches for moving object detection. This paper presents critical...
Based on quotient space and granular computing theory, the image retrieval process is analyzed, and a multi-granular method based on quotient space is proposed for Thangka image retrieval. With the proposed method, an image is divided into different granularities based on hierarchical thinking, and different quotient spaces are constituted according to different behaviors under different granularities...
Segmentation of a scene to the part made is a challenging work. In this paper a graphical model is used for this task. The methods based on geometrical derivatives such as curvature and normal often haven't good result in segmentation of geometrically-complex architecture and lead to over-segmentation and even failure. Proposed method for segmentation contains two steps. At first region growing based...
Breast mass segmentation in mammography plays a crucial role in Computer-Aided Diagnosis (CAD) systems. We propose in this article a method for the segmentation of mammography images. We use a combined solution of the two approaches; one based on levels set theory and the other based on the principle of the minimization of the energy of active contours. The elaborated algorithm which is an interactive...
This paper presents a new method of producing a high-resolution image from a single low-resolution image without any external training image sets. We use a dictionary-based regression model for practical image super-resolution using local self-similar example patches within the image. Our method is inspired by the observation that image patches can be well represented as a sparse linear combination...
Retrieving content from degraded document image is very big and difficult task due to high variation between document background and foreground text. To simplify the task, novel system first constructs correct contrast to the image. Correct contrast to be constructed, based on the local maximum minimum algorithm process's result. Then find text edge stroke detection which lies on high contrast pixel...
Manual analysis of brain glioma tumor lacks accuracy and is time consuming. Thus, to avoid human error, this paper presents an automatic and accurate computer aided diagnosis (CAD) system for brain glioma exploration on magnetic resonance imaging. A preprocessing approach was proposed to eliminate extra-cerebral features. Tumor and even its edema was automatically extracted by a fast distribution...
This study applies tangible user interface technology to develop “Interactive Tangible Word Game”. A user interacts with the game by placing plastic alphabetic characters on a surface and the game responds by projecting graphics on to the surface. The system uses the surface image and converts it to a binary image. Seven Hu's moments are then computed from each contour of each object in the image...
In this paper we propose a neural net based characters recognition scheme for Bangla printed text books. There are a lot of scientific literature, novels, magazines and books etc that are written in Bangla language. More than 400 million people use Bangla language. Most of the library and educational institutions want to keep copy of the books in a digital format. For storing those books in digital...
Document layout analysis is necessary process for automated document recognition systems. Document layout analysis identifies, categorizes and labels the semantics of text blocks for meaningful information retrieval from document images. Our primary target document includes various newspaper and magazine pages which are having complex layout without following any static rules. We propose an effective...
Medical imaging and computer aided diagnosis traditionally focus on organ or disease based applications. CAD is used by radiologists as a second opinion in detecting tumors, accessing the extent of diseases and making diagnostic decision. Automatic segmentation of tumor from CT images is difficult due to size, shape, position and presence of other objects with the same intensity present in the image...
In this paper, we propose an interactive clothing image segmentation method based on super pixels and Graph Cuts. Firstly, we process the image from pixels to super pixels with the method of SLIC to reduce the computational loads and lower the effect of noise, and then a graph is constructed using super pixels as nodes. Finally, min-cut/max-flow algorithm is applied to solve the energy function. In...
Evaluation is a process of assessing and measuring the educational system through many techniques like oral or viva-voce exam, subjective exam and objective exam etc. After conducting a survey on 200 peoples, we found, objective exam is preferred to evaluate the students frequently due to the easy and less time consuming in the evaluation of objective answer-sheet in compare to the subjective answer-sheet...
Teeth segmentation is an important step in human identification and Content Based Image Retrieval (CBIR) systems. This paper proposes a new approach for teeth segmentation using morphological operations and watershed algorithm. In Cone Beam Computer Tomography (CBCT) and Multi Slice Computer Tomography (MSCT) each tooth is an elliptic shape region that cannot be separated only by considering their...
Before inpainting damaged Thangka image using digital technology, it's necessary to segment the damaged regions. A segmentation algorithm is proposed to segment the spotted regions of damaged Thangka mage, which combines grayscale morphology with maximum entropy threshold method. First of all, the mathematical morphology is used to act on RGB channels respectively in order to segment the tiny spots...
The aim of this study is a structured literature review of a computer assisted semen analyzers (CASA) and study the existing methods of finding certain characteristic and parameters of a semen, its density and the morphology of the spermatozoa. The analysis of spermatozoa is an important topic for fertility issues and for assisted reproduction. Spermatozoa analysis plays a vital role in the process...
Electro-mechanical meters are commonly employed to measure the consumption of utilities. Basically there exist two types of analog meters: the ones that use rotary dials (like an odometer) and the ones with pointer dials (like a speedometer). Former approaches to automated meter reading have dealt with the first kind of meters. Considering that automated reading of the latter ones can be confusing,...
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