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To segment multi-spectral remote sensor images, feature extraction and object classification is an essential step that performs region-based segmentation instead of a pixel-based segmentation. Spectral based segmentation methods like K-Means, Mean-shift segmentation fail to extract optimal regions from multi-spectral images. In high-resolution multi-spectral images, segmentation main aim is to divide...
Palm-leaf manuscripts have enormous information, very much essential to day-to-day life. Due to climatic changes and aging factors these manuscripts have started degrading. To preserve the information present on the palm-leaves, digital images of each leaves have been taken up and stored. These images can be viewed as and when required. However, the storage volume required for each leaf is tremendously...
Developed modification data clustering algorithm for multispectral image segmentation based on their specific opportunities to allocate individual objects or spatial domain with specific spectral properties.
Recently, Scientists needs to know the behavior of human sperm for proper diagnosis in Gymnocology problem. In this paper, we introduced an algorithm for tracking and detecting multi-moving human sperm using wavelet threshold in a improved version. Initially the captured images are filtered by a wavelet denoising approach. Then a combination method of mixture of Gaussian method as background subtraction...
In this paper, we propose a novel image segmentation algorithm for license plate recognition (LPR) in video based traffic surveillance system. The license plate character segmentation is most important procedure in LPR system. However, in real situation, the character segmentation algorithms are challenged by drastic performance decrease due to sudden local illumination changes, especially when the...
The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) provides scanned images for Brain Tumor detection. Growth of abnormal cells in uncontrolled manner is tumor. The present paper proposed the classification and identification scores of brain tumor by using k-NN algorithm which is based on training of k. In this work Manhattan metric has applied and calculated the distance of the classifier...
In this paper, we propose a Vehicle Logo Recognition (VLR) approach which uses moment invariant for feature extraction. Moment invariants and Minimum-Mean Distance (MMD) classifier are adopted to recognize six different types of vehicle logos from a public dataset. Vehicle logos obtained from coarse and fine segmentation, are recognized using Tchebichef and Legendre moment invariants. In either coarse...
In recent years, road markings detection has received great attention and has been widely explored due to the aim of producing a system that is able to detect various shape of road markings on the images that are captured under various imaging conditions. Generally, the road images are captured using a camera, which has been placed inside the vehicle at a fixed position. However, the quality of the...
Line drawing from a 1938 architectural plan drawn on linen was successfully extracted using Difference-of-Gaussian (DoG) filters. Compared to traditional edge detection and image segmentation techniques, the DoG filter was able to exclude canvas weave patterns and stain without additional morphological operations. The output image using DoG filter can be used for vectorizing the extracted architectural...
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...
Today, Arabic is one of the big challenges in Optical Character Recognition (OCR) to support a digital communication. There are many research on arabic OCR, either printed or handwritten input. However, the research on arabic OCR with harakat is still little due to the high degree of difficulty in segmentation techniques. In this paper, we propose a new segmentation scheme of the arabic character...
In this study, fuzzy input data has been considered for processing of Poisson medical image matting. Image matting is actually known as an image segmentation approach. But, fine detail information can be extracted from the background of the given image in the image matting. Although global Poisson image matting approach is applied to smoothed images, successful matting results can be obtained from...
One of the most accurate biometric authentication methods is iris pattern. It has the advantages of being stable, contactless and no user's previous knowledge is required. This paper presents an iris recognition system for user authentication. To design the proposed iris authentication system we reviewed and evaluated four iris pattern recognition features including Histogram of Oriented Gradients...
Changes in the morphology of cervical cell nucleus are one of the most important features to be observed during Pap-smear screening. In this study, Intersecting Cortical Model (ICM) was employed to segment the nucleus from cervical cell images. The four unknown parameters in ICM were optimized by Particle Swarm Optimization (PSO). Two hundred and fifty test images were randomly selected from Herlev...
‘Maximally Stable Extremal Regions’ (MSER) based interest points are frequently used for medical image registration on account of their robustness to noise, better localization, and good repeatability. However, if the objects in the image do not have sharp boundaries (as is the case with medical images), the number of MSER's detected is low. Also, MSER's are highly sensitive to image blur. This paper...
Heart failure due to iron-overload cardiomyopathy is one of the main causes of mortality. The cardiomyopathy is reversible if intensive iron chelation treatment is done in time. However, the diagnosis is often delayed because the cardiac iron deposition is unpredictable and the symptoms are lately detected. The widely used method in many countries is by calculating a parameter called the T2* (T2-star)...
In this paper, the problem of segmenting images with nonuniform lighting conditions has been addressed. It has been observed that for such images homogeneous granulation based thresholding algorithms yields poor results. In order to deal with such images, the notion of adaptive windowing has been employed using the notion of window growing. The windows have been fixed based on the entropy measure...
Powered by the pervasive penetration of inexpensive mobile devices and relevant APP's into our daily life, QR codes have found a wide range of applications in recent years. Therefore, the processing of the images of QR codes (also referred to as QR images) is an important task. In this paper, we try to deal with the scenario wherein the QR code is printed or pasted (altogether also referred to as...
In the field of neuropsychiatrie disorders, it is known that brain segmentation is important for both detection and diagnosis. The segmentation of the brain, which leads to the computation of brain volume proved to be vital in the detection of many brain pathology having Computed Tomography (CT) scan as the primary modality. Due to the fact that Fuzzy c-Means (FCM) proven to be robust, it is often...
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