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- 摘要
- 关键词
- 实验方案
- 产品
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[EAI/Springer Innovations in Communication and Computing] Computational Intelligence and Sustainable Systems (Intelligence and Sustainable Computing) || Investigation of Non-natural Information from Remote Sensing Images: A Case Study Approach
摘要： Rapid changes in non-natural information, such as infrastructure development, require frequent and rapid updates to maps from remote sensing (RS) images for numerous cartographic operations, including road map improvements for intelligent transportation systems, traffic monitoring, rural area development planning, and navigation. Revolutions in satellite imaging technology have improved the interpretation of non-natural information (e.g., roads, building, bridges, dams) for geographic information system (GIS) updates within short period of time compared with ground surveying.
关键词： Road Extraction,GIS,Image Processing,Remote Sensing,Machine Learning
更新于2025-09-04 15:30:14
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[IEEE 2018 International Conference on Applied Engineering (ICAE) - Batam, Indonesia (2018.10.3-2018.10.4)] 2018 International Conference on Applied Engineering (ICAE) - Identification Of Leukemia Diseases Based On Microscopic Human Blood Cells Using Image Processing
摘要： White blood cell cancer or what is often referred to as leukemia is a very dangerous disease. Until now the process of recognizing white blood cell cancer or leukemia is still done conventionally, which method can cause a diagnosis difference if done by different medical personnel. To answer these problems, a desktop-based application will be built. This application is made to help the process of identification and classification of types of leukemia using the technique of processing microscopic images of human blood cells. By doing several approaches, such as pre-processing, using the median filtering method, conversion color (RGB to HSV) to clarify the blood image and tresholding to get the image pattern of blood cells that have. Segmentation will be carried out to separate between objects that will be taken with unnecessary objects. This system will use extracted form features from each cell in microscopic blood images. This feature retrieval will be used as a classifier input which is divided into two classification classes, namely Acute Lympotic Leukemia (ALL) and Acute Myolegenous Leukemia (AML). With this method an accuracy of 80% can be generated for the detection of ALL cells separately (one cell), 100% for AML detection separately (one cell) and 90% for cell detection throughout (many cells).
关键词： Leukemia,Image Processing,Human Blood Cells,Microscopic
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Krakow, Poland (2018.10.16-2018.10.18)] 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Performance and power consumption evaluation in smartphone based image processing for medical applications
摘要： More and more image processing applications are intended to run on mobile devices. This trend is visible also in medical industry, which have very strict reliability and safety requirements. Increased power consumption and inefficient image processing can affect both of these factors significantly. More over, it affects the user experience as well. In this paper authors investigates the performance and power consumption of several different numeric algorithms implemented on iPhone device. The comparison is made between CPU and GPU based solutions. Authors evaluated the test scenarios involving common used operations: matrix multiplication, thresholding and Canny’s edge detection. The results showed that GPU based solution can be up to 4 times faster as CPU based one, with similar power footprint in particular cases. All measurements have been gathered without hardware interference nor jailbreaking of the device. Finally authors discuss possible application considerations and scenarios in medical related image processing smartphone apps.
关键词： smart devices,performance evaluation,cybercare,image processing,user experience
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Krakow, Poland (2018.10.16-2018.10.18)] 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Development of an iTomography infrastructure for non-destructive documentation of cultural heritage objects
摘要： In this paper, an new setup for the non-destructive scanning for cultural heritage applications is proposed. First, a multi-degree of freedom mechanical implementation is designed, for multiple angle and distance scanning of artworks via different modalities. Moreover, a specialized acquisition and control software is developed consequently created for the uni?ed platform. Additionally, various, onboard, post-processing image registration algorithms are realized for the combination of images originating on various sensors. The ?nal setup is tested on a mock-up icon, verifying the merits of the developed prototype for cultural heritage science work and research.
关键词： mapping tomography,ultrasound,spectroscopy,image processing,heritage science,non destructive testing
更新于2025-09-04 15:30:14
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A Time-Domain Computing Accelerated Image Recognition Processor With Efficient Time Encoding and Non-Linear Logic Operation
摘要： Time-domain computing (TC) has drawn significant attention recently due to its highly efficient computation for applications such as image processing and neural network computing. This paper presents novel time-domain circuit techniques, including: 1) double-encoding strategy; 2) bit-scalable design that accelerates the performance compared with previous linear coding; and 3) shared time generator (TG) with variation-aware design technique which significantly improves the error tolerance of TC. A feature-extraction and vector-quantization processor accelerated by TC has been developed for real-time image recognition. A 55-nm prototype chip shows 72-fps/core (at 1.33 GHz) operation with up to 42% area and power saving from TC compared to the conventional digital implementation.
关键词： Bit-scalable design,winner-take-all (WTA),double-encoding scheme,time-domain computing (TC),image processing,median filter (MF)
更新于2025-09-04 15:30:14
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Multi-resolution Image Fusion in Remote Sensing () || Image Fusion: Application to Super-resolution of Natural Images
摘要： Increasing the spatial resolution of a given test image is of interest to the image processing community since the enhanced resolution of the image has better details when compared to the corresponding low resolution image. Super-resolution (SR) is an algorithmic approach in which a high spatial resolution image is obtained by using single/multiple low resolution observations or by using a database of LR–HR pairs. The linear image formation model discussed for image fusion in Chapter 4 is extended here to obtain an SR image for a given LR test observation. In the image fusion problem, the available Pan image was used in obtaining a high resolution fused image. Similar to the fusion problem, SR is also concerned with the enhancement of spatial resolution. However, we do not have a high resolution image such as a Pan image as an additional observation. Hence, we make use of a database of LR–HR pairs in order to obtain the SR for the given LR observation. Here, we use contourlet based learning to obtain the initial SR estimate which is then used in obtaining the degradation as well as the MRF parameter. Similar to the fusion problem discussed in Chapter 4, an MAP–MRF framework is used to obtain the final SR image.
关键词： image processing,degradation estimation,MAP–MRF framework,Super-resolution,contourlet transform
更新于2025-09-04 15:30:14
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THE BOSS EMISSION-LINE LENS SURVEY. IV. SMOOTH LENS MODELS FOR THE BELLS GALLERY SAMPLE
摘要： We present Hubble Space Telescope F606W-band imaging observations of 21 galaxy-Lyα emitter lens candidates in the Baryon Oscillation Spectroscopic Survey Emission-Line Lens Survey (BELLS) for the GALaxy-Lyα EmitteR sYstems (BELLS GALLERY) survey. Seventeen systems are confirmed to be definite lenses with unambiguous evidence of multiple imaging. The lenses are primarily massive early-type galaxies (ETGs) at redshifts of approximately 0.55, while the lensed sources are Lyα emitters (LAEs) at redshifts from two to three. Although most of the lens systems are well fit by smooth lens models consisting of singular isothermal ellipsoids in an external shear field, a thorough exploration of dark substructures in the lens galaxies is required. The Einstein radii of the BELLS GALLERY lenses are, on average, 60% larger than those of the BELLS lenses because of the much higher source redshifts. This will allow for a detailed investigation of the radius evolution of the mass profile in ETGs. With the aid of the average ～13× lensing magnification, the LAEs are frequently resolved into individual star-forming knots with a wide range of properties. They have characteristic sizes from less than 100 pc to several kiloparsecs, rest-frame far-UV apparent AB magnitudes from 29.6 to 24.2, and typical projected separations of 500 pc to 2 kpc.
关键词： galaxies: elliptical and lenticular, cD,gravitational lensing: strong,dark matter,techniques: image processing
更新于2025-09-04 15:30:14