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In this study, a simple and efficient airport detection method is presented. The method is performed uses both the geometric and texture features. The method that use RASAT satellite images is carried out in two stages as coarse and fine stage. In the first stage, line segments are detected with line segment detector (LSD) and the short length of lines are filtered. Remaining line segments are grouped...
Over the last few years, industry and academia have been shifting towards computer aided models for seismic interpretation because manual labeling and salt dome delineation is becoming very time consuming and labor intensive as the volume of seismic data is in the order of tera-bytes. In this paper, we have proposed an edge-based active contour with an arc length penalty using level set implementation...
Cytogenetics deals with the study of human chromosomes. This helps in detecting birth defects. Segmentation of overlapped chromosomes in metaphase images is very important in chromosome analysis. This becomes a complex task when more than one overlap occurs in the chromosomes mainly due to the non rigid nature of the chromosomes. This paper proposes an algorithm for identification of overlap zone...
Several studies on autism spectrum disorder (ASD) show that there exists significant heterogeneity in phenotype of the disorder. Additionally, many published findings also suggested that ASD is defined by atypical local/global processing. In this paper, we designed a puzzled-based intervention to examine the sensitiveness to the information of local /global processing on individuals with ASD. Additionally,...
Hyperspectral image segmentation is considered in this paper. A low-rank representation method is applied first to extract major data information, followed by a spectral clustering method based on data graph. Segmentation accuracy can be further improved by a post-processing step using non-local majority voting. Experimental results demonstrate that the proposed method can improve segmentation accuracy...
The study has proposed a novel and innovative system that uses image processing techniques for converting an imprinted Braille pattern into natural language character. The processing takes place through a series of steps implemented in MATLAB. The major step is the removal of noise from the scanned image of an imprinted Braille pattern and other artifacts and then segmenting the scanned image to yield...
In this article, spatio-temporal spatial and temporal segmentations are combined together to detect moving objects. In spatio-temporal spatial segmentation, a compound Markov Random Field (MRF) is used for modeling the image frames. Segmentation is viewed as a pixel labeling problem and is solved using Maximum a Posteriori (MAP) probability estimation principle; i.e., segmentation is achieved by searching...
Researches on Road Extraction are incessant. Theses researches aims at the automatic identification of remote sensing images. The way to extract roads quickly, accurately and automatically has been a cutting-edge problem in remote sensing related fields, since the availability of high spatial resolution images from new generation commercial sensors. In this paper, we present a novel automatic road...
The objective of this paper is to introduce a computer assisted prediction of malaria infection particularly Plasmodium vivax based on the morphological and textural information. Here erythrocytes have been segmented from light microscopic images of peripheral blood smear using marker controlled watershed followed by pre-processing. Thereafter texture and morphology of erythrocytes are extracted using...
Invasive Ductal Carcinoma (IDC) is the most common type of breast cancer accounting for almost 22% of all female cancers in the world. Conventionally, IDC is diagnosed by a pathologist after observing changes in the nuclear morphology of cancer cells. In this paper, we propose an algorithm to diagnose IDC by the analysis and processing of cytology images using MATLAB. The algorithm quantifies nuclear...
An Optical Character Recognition (OCR) system with high recognition rate is challenging to develop. One of the major contributors to OCR errors is smeared characters. Several factors lead to the smearing of characters such as bad scanning and a poor binarization technique. Typical approaches to character segmentation falls into three major categories: image-based, recognition-based and holistic-based...
Hematological disorders are mostly identified based on characterization of blood parameters i.e. erythrocytes, leukocytes and platelets. Microscopic examination of leukocytes in blood slides is the most frequent laboratory investigation performed for malignancy detection. Hematological examination of blood is an indispensable technique still today and solely depends on human visual interpretation...
In this paper we solve the problem of image doctoring using bispectral analysis and Expectation-Maximization (EM) algorithms. Doctoring is a process of modifying or changing the content of an image. Now-a-days there is widespread availability of multi-media data in digital form. The technology that could alter the digital data is growing at break-neck speed, which imposes challenge to image forensic...
Besides the iris, conjunctival vasculature may also be used for ocular biometric recognition. Conjunctival vessel patterns can be easily observed in the visible spectrum and can compensate for off-angle or otherwise occluded iridial texture. In this paper, classification of conjunctival vasculature using Gray Level Co-occurrence Matrix (GLCM) is studied. Statistical features of GLCM, i.e., contrast,...
Document layout analysis is a pre-processing step to convert handwritten/printed documents into electronic form through Optical Character Recognition (OCR) system. Handwritten documents are usually unstructured i.e. they do not have a specific layout and most documents may contain some non-text regions e.g. graphs, tables, diagrams etc. Therefore, such documents cannot be directly given as input to...
Automatic license plate detection is an active and challenging field of research requiring multi-disciplinary technologies, such as machine vision, pattern recognition and artificial intelligence. This paper presents a simple, elegant and robust approach to automatic recognition of license plate, specifically suited to vehicles in the Indian subcontinent, wherein wide variations in the formats of...
An extra-classical receptive field (ECRF) based mid-level model of visual processing which we refer to as the neuro-visually inspired model of figure-ground segregation (NFGS) is proposed in this work. It is inspired by the non-linear interaction of the classical receptive field (CRF) and its non-classical extended surround, comprising of the non-linear mean increasing and decreasing sub-units. A...
Lip detection from human front facial image belongs to image segmentation and an essential in many multimedia systems and real time applications such as videoconferencing, speech reading and understanding, face synthesis and facial animation through pronunciations. An efficient and effective detection of the lip contours from the human front facial image is relatively a difficult job in the field...
In recent times, ROI-based extraction and volume estimation of various brain tissue types has gained immense attention from medical and computational research community. In diagnosing certain diseases, the volume of a specific brain region (e.g. Hippocampus) needs to be estimated to the best possible accuracy. Compared to the whole brain approaches, Region of Interest (ROI)-based approaches require...
In this paper we present a fast and robust segmentation scheme for a nighttime pedestrian detection system. The system uses an IR source for illumination and (Near Infrared) NIR camera to capture images of a scene at night. A new vertical edge detection method is used to identify edges in images that belong to pedestrians. These edges are further combined to form potential pedestrian image blocks...
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