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In this paper, a building facade detection algorithm is proposed. Proposed algorithm first detects the edges present in an image and connects them into line segments. Then a polar histogram mapping is used to find the vanishing points in the scene. An approach with low complexity is introduced to cluster the line segments according to their vanishing points. Line segments and their corresponding vanishing...
Automatic character segmentation is the first most fundamental and crucial step for the Optical Character Recognition (OCR) system. Though there have been a lot mature commercial OCR systems for controlled environment, the techniques of OCR are not as popular as expected for the complex uncontrolled environment. The bottleneck is character segmentation from noisy background. In this paper, we propose...
This paper proposes a novel two-stage method for remote sensing image segmentation. First, initial small segments, also called subobject primitives (sub-OPs), are obtained using edge-constrained watershed segmentation and edge allocation. These segments are gradually merged into a larger segment until the edge-controlled limits are reached, thereby creating the initial OPs. In this stage, a concept...
Segmentation of the vessels in retina images is an essential step in earlier diagnosis of diabetic and hypertension. The application of image analysis using segmentation could assist the ophthalmologists, to detect the signs of diabetic retinopathy in the early stages. In this paper, a bank of 180 Gabor filters is used to capture high frequency information among which the maximum response for each...
Image segmentation is a technique used to segment region of interest (ROI) in the image for further image processing applications. Contour extraction is one of the most important image segmentation methods. In this paper, a contour extraction method is proposed, which consist of two stages. The first stage is automatic initial edge point selection (IEPS), and the second stage is segmental contour...
Diabetic retinopathy is the commonest cause of blindness. Diabetes causes cataracts, Glaucoma and diabetic retinopathy. The Optic Disc is the exit point of retinal nerve fibers from the eye and the entrance and exit point for retinal blood vessels. The detection of Optic Disc is very essential to locate the various anatomical features in the retinal images. We describe a new filtering approach in...
Baseline detection is an essential preprocessing step for many OCR systems, it has a direct effect on the efficiency and reliability of characters segmentation and features extraction stages, which contribute strongly to yielding higher recognition accuracy. For Arabic handwritten, the conventional methods which extract baseline as straight line are ill-suited because some Arabic words may be contracted...
This paper examines the Kernel Principal Component Analysis (KPCA) feature detection and classification for underwater images. In Underwater images the numbers of distortion occurred are blurring of image, illumination of light and rotation of angle, noise etc. Features are normally extracted by the method called SIFT (Scale Invariant Feature Transform for underwater images). It is used for extracting...
In order to improve the citrus grading accuracy, fractal dimensions which characterize the color and shape features of citrus fruit were analyzed. Samples were from Citrus unshiu Marc.cv.unbergii Nakai. For each sample, images from peduncle, calyx and two opposite sides were collected. These four images were cut, removed backgrounds, and converted from RGB space to HSI one, then by the following methods,...
Video text provides high-level semantic information. However, due to the complex background in video, it is of great difficulty to extract text efficiently. Although many methods hold assumptions on single feature, such as texture, connected areas etc., there are still some problems in dealing with multilingual text extraction because of its quite different appearance. In this paper, the color and...
Considering the characteristic that the nucleus and the nucleolus have no obvious boundary, this paper presents a fast level set method which is based on the overall information of an image to extract the nucleolus from the prostate nucleus. We pre-process the three-dimensional colorful prostate image at first, making the nucleolus (target) distinct to the surrounding environment (background) at the...
The paper realizes water body extraction well using object-oriented classification method based on SPOT5 image. Firstly, segment image according to multi-scale image segmentation method based on edge-detection algorithm. Secondly, determine various characteristic parameters in land surface features according to object characteristics such as spectrum, shape and texture. And thirdly, use SVM (Support...
There is a practical need in blind and automatic evaluation of noise characteristics in remote sensing images, especially multi and hyperspectral ones. It is both desirable to evaluate noise type and variance. This is needed for image filtering, classification, compression, edge detection and other operations of image processing. In the paper we address the task of noise variance evaluation supposing...
A new method of vision-based guidance line detection is developed to find guidance line in row crop fields for agricultural machinery, which uses the mathematical morphology to process images and segment crops in images and to extract target crops. The guidance line is fit with the least-square method according to the centroids of individual target crops or/and the central points of several pixel...
Facing the problem of punching-teeth process accuracy is not high in hardware manufacturing field,this paper discusses image signal collection, pre-processing, object orientation system structure and working thesis of juicer cutter plate in punching-teeth process, based on image real time processing technology. Through CCD collection image information,image mode matching,using maximum intra-class...
Computation of functional regional scores requires proper identification of LV contours. On one hand, manual segmentation is robust, but it is time consuming and requires high expertise. On the other hand, the tag pattern in TMR sequences is a problem for automatic segmentation of LV boundaries. We propose a segmentation method based on a predictor-corrector (Active Contours - Shape Models) scheme...
Computer aided diagnosis of dermoscopy images has shown great promise in developing a quantitative, objective way of classifying skin lesions. An important step in the classification process is the lesion segmentation. Many papers have been successful at segmenting melanocytic skin lesions (MSLs) but few have focused on non-melanocytic skin lesions (NoMSLs), since the wide variety of lesions makes...
It is significant to accurately locate the pupil position in eye tracking system. And the commonly used method is the algorithm combining Starburst and ellipse fitting. The Starburst algorithm is used to detect the edge of the pupil while the ellipse fitting is supposed to find the optimum ellipse that finely fits the pupil. Then the center of the ellipse is regarded as the location of the pupil....
Automatic building extraction is a bottleneck of automatic surveying and mapping of big scale urban image. For the single aerial gray-scale image, the automatic buildings extraction, an algorithm based on the principle of confrontation and using the prior knowledge of the building is presented here. A two-dimension OTSU segmentation will be used to do the rough segmentation because of the characteristics...
This paper presents an efficient technique for automatic ear detection from side face images. The proposed technique detects ear by exploiting its inherent structural details and is rotation, scale and shape invariant. It can detect ear without any training or assuming prior knowledge of the input image. The technique is based on connected component analysis of a graph constructed using the edge map...
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