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Metaphase chromosome analysis is one of the primary techniques utilized in cytogenetics. Observations of chromosomal segments or translocations during metaphase can indicate structural changes in the cell genome, and is often used for diagnostic purposes. Karyotyping of the chromosomes micro-photographed under metaphase is done by characterizing the individual chromosomes in cell spread images. Currently,...
This paper discusses a possible implementation of the integration of knowledge from a probabilistic ontology in the automatic description of images. This combination not only provides the relations existing between the different segments, but also improve the classification accuracy, as the context often gives cues suggesting the correct class of the segment.
In this paper, we proposed a seam carving based refinement method to refine and produce superpixels. The proposed method can refine existing superpixels by repeating the splitting process. There are two major steps. The first is choosing a superpixel candidate by analyzing color variances; the second is splitting a superpixel into 4 by dynamic programming. The experimental results show that the proposed...
Image segmentation is an important technique in image processing. It be used for separating the objects or foreground from the background. This paper focuses on the split step of a split-and-merging approach for color image segmentation. For splitting, we propose a quad-tree method based on hue angles (QTHA). The QTHA introduces a novel metric criterion for measuring hue homogeneity within a block...
Based on the scale-invariant feature transform, this paper presents an approach to keyboard recognition. Not only the skewed keyboard can be corrected, but also the keys in the keyboard can be located. Experimental results confirm the feasibility of the proposed method.
Vectorization is happened by a wave method. The wave method is to analyze the path of the way to the spherical wave in the image. At every step is analyzed offset center of point's mass forming a new step wave relative to the previous position of the center of mass. Offered of the perfected wave tracing algorithm is to use a spherical wave on the combined raster image while creating skeleton. The...
Electronic fuze assemblies may be exposed to harsh environments during prolonged storage, transport and deployment. Under exposure to storage-transport environmental loads including mechanical shock, temperature, vibration and humidity the fuze assemblies may sustain damage without any surface signs of visible degradation. Further, the operational environment requires survivability under high-g loads...
Traditional, the hardcopy of cadastral map is an important historical evidence for the land parcels information in the Land Office. However, the paper is not easy to save and the size of the scanner is not large enough for digital storage either. In this study, multi-view image processing technology is applied to create a true ortho-photo of cadastral map for solving the storage problem.
Region merging is one of important steps in an image segmentation system, which can be used for partitioning the objects in images. This paper presents a region merging method based on hue angles (RMHA). The RMHA employs the architecture of the Improved Quad-tree Method (IQM) [7]. We propose the homogeneity testing based on hue angles (HTHA) as the core of the IQM. The HTHA merges two adjacent regions...
Hyperspectral imaging is based on the acquisition of a large number of narrowly spaced spectral band images in the electromagnetic spectrum. Hyperspectral images surpass other imaging techniques in the detection of objects, classification and the detection of the changes that occur in the scene. A recent approach for hyperspectral segmentation is the superpixel segmentation approach. In this work,...
Image segmentation quality is usually governed by two main parameters associated with a particular segmentation method: threshold selection and seed-point selection. Various methods such as the histogram method, entropy based method, busyness measure methods, etc. are well known for threshold selection in the image segmentation problems. In this thesis, threshold selection is done on the basis of...
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...
In this paper, we present a segmentation method of handwritten Arabic texts. The proposed method uses the algorithm for construction of the Outer Isothetic Cover (OIC) of a digital object. This technique 3allows the construction of polygons of all connected components on the binary image of the document. The first specificity of this method is that it allows the extraction of the shape of the script...
The authors have conducted studies on Arabic news caption recognition to develop a system for video retrieval by keyword to index and edit Arabic broadcast programs received daily and stored in a big database. This paper proposes a dedicated OCR for recognizing low resolution news caption in video images. The news caption recognition system consisting of text line extraction, word segmentation and...
Current approaches for text line segmentation often are either very specialized to specific domains or they depend on many parameters. More specifically, the extraction of text-lines with large sizes, i.e., headings and titles in the Arabic like script could not be segmented correctly by state-of-the-art methods. In this work, we present a simple and robust text-line segmentation approach. The proposed...
This paper addresses the problem of handwritten and printed text separation in Arabic document images. The objective is to extract handwritten text from other parts of the document. This allows the application, in a second time, of a specialized processing on the extracted handwritten part or even on the printed one. Documents are first preprocessed in order to remove eventual noise and correct document...
Handwritten text in any language is believed to convey a great deal of information about writers' personality and identity. Handwritten documents are frequently used as evidences in forensic tasks. Handwriting skills is learnt and developed from the early schooling stages. Research interest in behavioral biometrics was the main driving force behind the growth in research into Writer Identification...
Horticulture is the extremely important and developing economic movement in all the times. In earlier of industrial rebellion, the huge number of human community rely only on agriculture. Be that as it may, now, agribusiness in India is confronting a basic reshape which prompts a troublesome condition. The one of the prime inconvenience exhibit in the horticulture is developing strikes of vermin in...
Recent progress in Thermal and infrared Non-Destructive Testing (IRNDT) in different fields have provided interesting defect detection solutions. Principal Component Analysis (PCA) based K-means clustering have been successfully introduced and used in many clustering applications. However, PCA suffers from being relatively more sensitive to the noise due to having a linear transformation. On the other...
In this paper, we discuss about the pre-processing approaches for MRI brain scans, which is an initial and critical step to yield better segmentation of gliomas(brain tumors) using the. In the recent days Deep Learning has achieved state-of-theart results in Medical Imaging. The pre-processing approaches for MRI brain scans discussed in this paper gives proper insights to the researhcers in this field...
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