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In this paper, we will discuss the Quality of Edge Detected at different threshold values. For the purpose we will compare among Bacterial Foraging Algorithm, Canny Edge detector and Sobel Edge Detector. The Algorithm Bacterial Foraging also uses a thickness constraint and follows the Swarm intelligence feature and works like the behavior of bacteria in the search of food, Whereas Canny uses eliminates...
This work addresses the study of active edge n-in-p planar sensors. Active edge planar pixel sensors are promising candidates to instrument the inner layers of the new ATLAS pixel detector for High Luminosity Large Hadron Collider (HL-LHC), thanks to its radiation tolerant properties and the increased fraction of active area due to a distance as low as 50 μm between the last pixel implants and the...
A number of approaches have been developed for image steganography till date but none have used quadtree partition scheme. The quadtree partition is used to divide the image on the basis of variations among the pixel values and therefore we can identify the fine grained and coarse grained areas inside the image. It is very much comfortable and effective to hide something in the roadside scrub rather...
Image processing includes many various procedures and one of the mostly used is edge detection. Sometimes is desirable to improve precision of edge detector to sub-pixel range. In our paper we deal with precise localization of edge which is moving during the exposure time. For such the edges we tested three edge detectors with sub-pixel precision in 1-D images: algorithm that uses function erf to...
A new approach blends a new camera architecture based on a digital micro-mirror device with the new mathematical theory and algorithms of compressive sampling. The “single-pixel” compressive digital camera functions by the method of focussing the desired image onto a digital micro-mirror device (DMD) consisting of an array of N tiny mirrors. Camera architecture employs a digital micromirror array...
According to convenience and accuracy problem of clinical wound area measurement method, the wound area measurement software is designed based on the Android. The wound image is photographed by the Android device and is cut out and converted to the grayscale image and the binary image. The invalid area is eliminated and the valid area is extracted. The pixels of wound area are counted. According to...
In the dams monitoring procedure there are several important aspects that must be taken into consideration when the specialists must give a detail report regarding the construction behavior during the operation. One of the above physical phenomena that must be followed is the inclination of the concrete blocks during the freezing / unfreezing intervals or maximal / minimal loads (from the lake's water...
In the paper we introduce three methods for image processing, they are pixel extraction method, memory method and pointer method. With the same condition of data structure and algorithm, the three methods are used in edge detection for the digital images. In order to compare the actual operation efficiency of these three kinds of methods, we use C# to write a Windows Form Application program in the...
Fruit grading technique will rank the images using their shapes, color and outer look. For that we present an improved watershed segmentation method based on multi-scale edge detection. Multi-scale edge detection method which is the weighted combination of morphological operations and it applied to fruit Image. First the image is given to multi-scale edge detection method and the result is given as...
- Plants play an important role in both human life and other lives that exist on the earth. Due to environmental deterioration and lack of awareness, many rare plant species are at the margins of extinction. Despite the great advances made in botany, there are many plants yet to be discovered, classified, and utilized; unknown plants are treasures waiting to be found. Leaf classification and recognition...
Cataract is the leading cause of blindness worldwide. In this paper, registration of retroillumination image is investigated for detection of cortical and posterior subcapsular cataract (PSC). The pupil region is detected by local entropy filtering. The anterior image and posterior image are registered using maximum normalized cross-correlation. The registration of anterior and posterior image can...
This paper is the continuation of a work presented at ICORR 07, in which we discussed the possibility of improving eye-hand coordination in children diagnosed with this problem, using a robotic mapping from a haptic user interface to a virtual environment. Our goal is to develop, implement and refine a system that will assess and improve the eye-hand coordination and grip strength in children diagnosed...
In applications where shape is used as metadata to describe image and video content, image dependent techniques exhibit superior error concealment performance compared to the traditional MPEG-4 like image-independent techniques. The image corresponding to a particular shape may not be readily known at the decoder and rather needs to be retrieved from of a set of images. This paper presents a novel...
In this paper, we have proposed an accurate and an efficient text detection model for document images and video frames. The proposed model is based on the Moravec operator to localize text in a document image and horizontal and vertical mask convolution is performed to identify the actual text blocks. In order to exhibit the performance of the proposed model, we have conducted experimentation on the...
Compression artifacts are the results of an aggressive data compression scheme applied to an image that discards some data which is determined by an algorithm to be of lesser importance to the overall contents but which is nonetheless discernible and objectionable to the user. In this paper we present a post-processing algorithm that focuses on restoring the clarity of important image features and...
This paper deals with an automatic measurement of nanofiber properties on digital images. Nanofibers are manufactured by electrospinning method with diameters in the range of one or two orders magnitude smaller than conventional textile fibers. Individual algorithms and functions suitably use instruments of computer image processing. A first parameter filling is defined by a ratio of a fiber area...
Edge detection is an important task in computer vision. This paper describes a global approach to edge detection using genetic programming (GP). Unlike most traditional edge detection methods which use local window filters, this approach directly uses an entire image as input and classifies pixels directly as edges or non-edges without preprocessing or postprocessing. Shifting operations and common...
Reliable feature recognition is necessary in broad fields of computer vision and image processing. Edges often act as primary artifacts of visual data. Edge detection is to mark sharp changes of the intensity or brightness of digital images. Canny edge detection and ant colony optimization detection are two essential edge detection approaches. The former is susceptible to noises presented on source...
In recent years, there has been great progress in the field of multi-focus image fusion. However, existing methods still have their respective defects, and the quality of fused image needs to be improved further. In this paper, a novel fusion method by progressive pixel extraction is proposed. In accordance with the sums of all high-frequency coefficients in a series of windows, the method aims at...
This paper introduces the Nonsubsampled Contourlet Transform (NSCT) into infrared and visible remote sensing image fusion and proposes a novel multi-scale analysis method based on region energy. With better direction selectivity and energy convergence compared to that of wavelet, NSCT is suitable for representing detailed information of remote sensing images. In addition, region energy method is better...
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