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- 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...
Diagnosis is the Key feature of an Intelligent Diagnostic Imaging System (IDIS). This paper describes the major diagnosis depending on the shape, texture, and area of the abnormality. Abnormality extraction is the vital step in a series of processes aimed at overall image understanding. Region based segmentation is used for abnormality extraction. This paper also describes author defined algorithms...
Abstract- Newer generations of diagnostic machines are based on digital technologies for data acquisition and consequently with the emergence of digital archiving systems for preservation of diagnosis is rapidly increasing. The goals of Content-Based Image Retrieval (CBIR) systems is to process on collections of images, extract features and based on visual queries, extract relevant image from a repository...
Recognizing the hand written document is one of the biggest challenges because of the variations in the handwritten text. The basic idea of this novel method is "divide and conquer". The algorithm recognizes the image in form of predefined glyphs. Based on the arrangement of the recognized glyphs, the exact character in the image can be recognized by comparing with the predefined glyphs...
This report sets out to the theme of the dynimisation of light and the digitization of light sources and poses the question of how the architectural space is defined when units of light are digitally addressed, constituting a luminous dynamic spatial grid of pixels. It is an architectural philosophical approach, noting the origins and effects of today¢s urban light technology as applied to architectural...
This paper presents FPGA based VGA display interface design for image display verification during test procedure in the star sensor debugging phase. Methods of asynchronous FIFO, methods for data update during line blanking interval and vertical blanking interval were adopted, and CCD camera's requirements for special sequential order were satisfied, and the metastable state problem caused by data's...
A high quality image can be synthesized by combining several differently exposed low dynamic range (LDR) images of the same scene. For scenes under low lighting condition, cameras are usually set to high sensitivity mode to reduce exposure times and avoid motion blur on captured images. However, those images tend to be noisy and the noise severely degrades the visual quality of final image especially...
This paper presents a new vision-based vehicle detection method for Forward Collision Warning System (FCWS) at nighttime. Also, lane detection is performed for assistance. To effectively extract the bright objects of interest, an essential image preprocessing including the tone mapping, contrast enhancement and adaptive binaryzation is applied in the nighttime road scenes. The characteristics of taillights...
Monolithic Active Pixel Sensors (MAPS) are intended to be used in STAR experiment at relativistic heavy ion collider (RHIC) accelerator for their good performances on particle tracking. Based on commercial CMOS processes, SRAMs built in MAPS are vulnerable to single event latch-up (SEL). Two SEL immunity memory cells are proposed in this paper for construction of radiation tolerant memories. The radiation...
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...
Anomaly detection is one of the most important applications for hyperspectral images. In this paper, a new ensemble learning algorithm for anomaly detection in hyperspectral imagery is proposed, which integrates feature grouping and anomalous signal subspace estimation. Main contribution of the proposed algorithm consists in two aspects. First, feature grouping in original hyperspectral images are...
With the arrival of High Definition Television (HDTV), the TV technology is heading towards 3DTV. Evolution of 3DTV requires the facility of capturing and analyzing the multi-view images and compressing and transmitting massive volume of data through the communication channel. The most sever issue in 3D shape extraction is the roughness of the surfaces. Image focusing is a dominant method of reconstructing...
Visual secret sharing scheme (for short the VSS scheme) with access structure based on graph \cite{ABSS96} has been proposed and this can be considered as an extension of $(2, n) $-threshold VSS scheme. Ateniese et al. showed a decomposition method that we decompose star graphs from a given graph which edges are specified by qualified sets. Namely, two participants (vertices in a given graph) has...
In this paper, we proposed a swift impulse noise suppresser based on adaptive growth algorithm (AGA). It is mainly composed of three parts: signal detector, adaptive growth and indispensable reestablishment and correction. Firstly, we designed a signal detector to detect the real signal pixels and calculated signal density according to the analysis of the characteristic of impulse noise and the distribution...
Segmentation of satellite images is an important step for the success of the object detection and recognition in image processing. Segmentation is the process of dividing the image into disjoint homogeneous regions. There are many segmentation methods and approaches, the most popular are clustering methods and approaches such as Fuzzy C-Means (FCM) and K-means. The success of clustering methods depends...
Motion detection is a vital part of vision systems, either biological or computerized. Conventional motion detection methods in machine vision can differentiate moving objects from background, but cannot directly handle different types of motions. In this paper, we present Genetic Programming (GP) as a method which not only removes relatively stationary background, but also can be selective on what...
In this paper, I propose a novel hybrid approach of license plate recognition system based on Neural Network and Image Correlation for classification of characters. I used image processing for segmentation. The purpose of this study is to develop a more reliable hybrid system than individual one. The license plate number of the vehicles taken from an acceptable distance from it up to 10m. This hybrid...
This paper presents design tutorials on image and audio signal processing for an introductory digital systems course. The objectives are to introduce advanced design and to promote interest in digital systems. The use of audio and visual components of design can enhance student's hands-on learning. By using co-simulation, a method in which software in a numerical computation environment generates...
The paper designs a common image acquisition system for digital cameras with Camera Link interface. The system uses CMOS image sensor of 1.3 million pixels as the light-sensitive chip and high-performance FPGA as the main controller. In order to meet ease of use and high real-time demands, the system uses high-speed USB2.0 interface to transfer image data between the acquisition system and PC. Further...
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