Fast image retargeting based on strip dividing and resizing

Based on image strip dividing, an effective and fast image retargeting algorithm is proposed for resizing images. First,we construct the image energy map using gradient magnitude of the pixels and calculate the accumulated energy of each column,dividing the image into several strips by integrating similar energy columns. The reduced amount of dimension is decided in inverse proportion to the average energy for each strip. Then we retarget the image combining scaling with cropping in terms of each strip＇s reduced ratio. Experiment results show that the proposed algorithm is capable of implementing fast image retargeting and preserving both the local structures and the global visual effect of the image.

Cluster-Based Saliency-Guided Content-Aware Image Retargeting

Straightforward image resizing operators without considering image contents （e.g., uniform scaling） cannot usually produce satisfactory results, while content-aware image retargeting aims to arbitrarily change image size while preserving visually prominent features. In this paper, a cluster-based saliency-guided seam carving algorithm for content- aware image retargeting is proposed. To cope with the main drawback of the original seam carving algorithm relying on only gradient-based image importance map, we integrate a gradient-based map and a cluster-based saliency map to generate a more reliable importance map, resulting in better single image retargeting results. Experimental results have demonstrated the efficacy of the proposed algorithm.

Targets Track Predicting of IR Image by CMAC

The centroid and attitude of target must be predicted in target tracking of IR image for increasing capture probability. CMAC estimator can effectually resolve conflict between operational counts and predicting precision. CMAC estimator is trained with a linear model, then the centroid and attitude are predicted. It is trained once by actual error in each frame to reduce the estimate error. CMAC has excellent predicting precision and small operational counts, it adapts to real time processing for target tracking. The experimental results show that CMAC can accurately estimate the centroid and attitude of target. It adapts to change of model and has robustness.

新吲哚菁绿IR-820辅助的近红外荧光成像和光热及协同治疗在肿瘤诊疗中的应用进展

新吲哚菁绿IR-820因其具有强近红外(near-infrared,NIR,750~1700 nm)荧光特性、良好生物相容性、高光热转换效率及稳定性等优势,在NIR发光的有机荧光染料中脱颖而出,被广泛应用于生物医学成像、荧光标记、细胞实时监测、光热治疗等研究领域。为更好地发挥IR-820的生物医学应用价值,研究人员用不同生物化学分子修饰IR-820来增强其荧光及光热特性,制备多种类的荧光纳米粒子,在基础生物医学成像与肿瘤光热治疗方面开展了众多研究。总结了IR-820荧光纳米粒子在近红外荧光成像和通过光热机理及与其他技术协同治疗肿瘤中的应用研究,希望为进一步推进有机荧光染料IR-820在生物医学领域应用和临床转化发展提供参考。

Delineation of Mesoscale Features of Ocean on Satellite IR Image

An ICSED (Improved Cluster Shade Edge-Detection) algorithm and a series of post-processing technique are discussed for automatic delineation of mesoscale structure of the ocean on digital IR images. The popular derivative-based edge operators are shown to be too sensitive to edge fine-structure and to weak gradients. The new edge-detection algorithm is ICSED (Improved Cluster Shade Edge-detection) method and it is found to be an excel lent edge detector that exhibits the characteristic of fine-structure rejection while retaining edge sharpness. This char acteristic is highly desirable for analyzing oceanographic satellite images. A sorting technique for separating clouds or land well from ocean at both day and night is described in order to obtain high quality mesoscale features on the IR image This procedure is evaluated on an AVHRR (Advanced Very High Resolution Radiometer) image with Kuroshio. Results and analyses show that the mesoscale features can be well identified by using ICSED algorithm.

Preliminary Monte Carlo Investigation of Using Ir-192 as the Source for Real Time Imaging Purpose

The purpose of this study is to investigate the potential use of Ir-192 as the source for real time imaging during HDR (High Dose Rate) brachytherapy treatment. Phantom measurement was performed to determine outside of the body dose. Monte Carlo code, EGSnrcMP egs_inprz, was used for the simulation to calculate the outside of the body x-ray signal for CT reconstruction. Matlab code was developed to reconstruct the Ir-192 source and for 3D visualization in order to assess reconstructed CT resolution, signal-to-noise ratio, and imaging dose information. The measured dose was 0.67 ± 0.04 cGy, which was comparable to the Monte Carlo simulation result 0.71 ± 0.20 cGy. The reconstructed source diameter dimension was 1.3 mm compared with 1.1 mm for the real source dimension. The signal-to-noise ratio was 19.91 db following de-noising. Source position was within a 1 mm difference between programmed and simulated results. Although the Ir-192 signal is weak for CT imaging, it is possible to use it as a CT imaging x-ray source for HDR treatment localization, verification and dosimetry purposes. Further study is needed for the detailed design of an outside of the body CT-like device for use in brachytherapy imaging.

Comparison of Laboratory Measurements for IR Imaging System Performance

Sensitivity and human performance are two important parameters for IR imaging system. Noise equivalent temperature difference (NETD) and minimum resolvable temperature difference (MRTD) can describe sensitivity and human performance of IR imaging system. So a lot of engineers apply themselves to studying the methods to measure NETD and MRTD for IR imaging system. The classical laboratory measurement methodologies for NETD and MRTD are introduced. And, two new approaches to three-dimensional (3-D) noise and MRTD/MRC are also portrayed, which can overcome some of the disadvantages existed in classical testing of NETD and MRTD. With the help of the new laboratory measurements, the disadvantages of the classical methods to measure NETD and MRTD can be solved.

Three-dimensional motion parameters estimation from stereo image sequences based on infrared reflective markers

In this paper,an innovative 3D motion parameters estimation method from stereo image sequences based on infrared(IR) reflective markers is presented.It was assumed that two high speed CCD cameras had been calibrated previously.The method consists of the following steps:1) the coordinate of several markers and depth map for each stereo pair was determined from the sequences of stereo images by relations of markers' coordinate the correspondence between markers was established,2) the 3D motion parameters of the target was computed based upon the matched markers' coordinate,and 3) translated 3D motion parameters estimation into the problem of least square according to the movement model of the object to be measured.Without using line,curve or corner correspondence,this method can calculate the depth of these markers feature easily and quickly in contrast to traditional approaches.The two CCD cameras work on 200 f/s,and each processing cost time is about 3 ms.It was found that,by using several markers and a large number of stereo images,this method can improve the computational speed,robustness and numerical accuracy of the motion parameters in comparison with traditional methods.The virtual simulation experiment was conducted using synthesized stereo image sequences based on 6-DOF motion platform and the experimental results proved the validity of our approach and showed that the translation and rotation precision is up to 0.1 mm and 0.1°.

Center of rotation estimation for rocket nozzle by infrared reflective makers and image sequences

The determination of an accurate center of rotation of rocket motor nozzle or other object to be measured is of great interest across a wide range of applications,such as rocket,missile,robotics,industry,spaceflight,aviation and human motion analysis fields,particularly for clinical gait analysis.A new approach was proposed to estimate the moving objects' instantaneous center of rotation and other motion parameters.The new method assumes that the two segment of object to be measured are rigid body which rotates around a center of rotation between each other relatively.The center of rotation varies with time in the global coordinate system but is fixed in the local coordinate system attached to each segment.The models of rocket motor nozzle and its movement were established.The arbitrary moving object's corresponding to motion equations were deduced,and the least square closed-form solutions of the object's motion parameters were figured out.It is assumed that the two high speed CCD cameras mounted on the 750 nm infrared(IR) filter are synchronized and calibrated in advance.The virtual simulation experiment using 3D coordinates of markers was conducted by synchronized stereo image sequences based on 6-DOF motion platform and the experimental results prove the feasibility of our algorithm.The test results show that the precision of x,y,z component on center of rotation is up to 0.14 mm,0.13 mm,0.15 mm.

Enhanced Robotic Vision System Based on Deep Learning and Image Fusion

Image fusion has become one of the interesting fields that attract researchers to integrate information from different image sources.It is involved in several applications.One of the recent applications is the robotic vision.This application necessitates image enhancement of both infrared(IR)and visible images.This paper presents a Robot Human Interaction System(RHIS)based on image fusion and deep learning.The basic objective of this system is to fuse visual and IR images for efficient feature extraction from the captured images.Then,an enhancement model is carried out on the fused image to increase its quality.Several image enhancement models such as fuzzy logic,Convolutional Neural Network(CNN)and residual network(ResNet)pre-trained model are utilized on the fusion results and they are compared with each other and with the state-of-the-art works.Simulation results prove that the fuzzy logic enhancement gives the best results from the image quality perspective.Hence,the proposed system can be considered as an efficient solution for the robotic vision problem with multi-modality images.

New Approach in Processing of the Infrared Image Sequence for Moving Dim Point Targets Detection

The development of an efficient moving target detection algorithm in IR-image sequence is considered one of the most critical research fields in modern IRST (Infrared Search and Track) systems, especially when dealing with moving dim point targets. In this paper we propose a new approach in processing of the Infrared image sequence for moving dim point targets detection built on the transformation of the IR-image sequence into 4-vectors for each frame in the sequence. The results of testing the proposed approach on a set of frames having a simple single pixel target performing a different motion patterns show the validity of the approach for detecting the motion, with simplicity in calculation and low time consumption.

FT-IR Microspectroscopic Imaging of Cross-Sectioned Human Hair during a Bleaching Process

We investigated bleached human hair by FT-IR microspectroscopy and chemical imaging. The cross sectioned hair is approximately 90 μm in diameter, showed cuticle and cortex in chemical imaging. Differential amide I/II absorbance ratio and broadening amide I band between in the cortex and cuticle were confirmed in FT-IR microspectroscopy and chemical imaging. The cystine monoxide band from the products of disulfide oxidation of the amino acid cystine is associated with hair damaging during bleaching process. With increase bleaching time, the band for cystine monoxide shows more intense and larger area in chemical image. The spatially chemical change was investigated in detail by FT-IR microspectroscopy and chemical imaging during the bleached process.

Spectrum of imaging and characteristics for liver tumors treated with irreversible electroporation

Therapeutic irreversible electroporation (IRE) is a relatively new technique for targeted tumor ablation. Needle electrodes are placed into or around the targeted region to deliver a series of brief electric pulses that disrupt cell membrane integrity, killing cells in a non-thermal manner that does not affect the extracellular matrix or sensitive structures such as major vasculature and bile ducts;making IRE an advantageous technique, especially for tumors that are unresectable or ineligible for thermal ablation. Here, we present on the imaging findings from IRE liver tumor treatments from ultrasound, computed tomography, magnetic resonance, and positron emission tomography. Imaging aids planning and implementing treatments by visualizing the targeted volume and guiding electrode placement. Immediate changes to the affected IRE region may be observed to verify complete ablation of the tumor with margin during the procedure, and permits follow-up evaluation of clinical outcome. In particular, we present tumor treatments in regions adjacent to sensitive structures that contraindicate thermal therapies.

基于不确定性增强的RGB-IR双波段图像语义分割算法

语义分割广泛应用于机器人、医学成像和自动驾驶等领域,但当前语义分割主要针对可见光图像。可见光图像在光照不足或天气差的情况下成像效果较差,而红外图像受光照影响较小。因此,将可见光图像和红外图像联合使用可以提升模型的鲁棒性。通过预测前景轮廓的不确定性并将其作为注意力机制,可以有效地提高模型在前景物体和边缘轮廓部分的分割能力。本文模型在公开数据库上取得了57.2的分割精度,综合性能优秀。

IRS-P6卫星LISS3图像数据质量评价

利用辐射精度、清晰度、信息量、信噪比、几何精度、地面分辨率6个数据质量评价指标，对LISS3与TM图像进行对比分析。研究结果表明，LISS3图像在地面分辨率和信噪比方面有显著提高，几何精度（均方根误差为0．28）小于1／2个像元，在绿（0．52～0．59μm）、红（0．62～0．68μm）和近红外（0．77～0．86μm）波段其辐射精度、清晰度、信息量均高于TM图像，在短波红外波段（1．55-1．70μm）相应指标略低于TM图像。分析LISS3在短波红外波段图像质量指标降低的原因，提出增加LISS3第5波段宽度、新增波长2．2～2．5μm的短波红外波段以改进LISS3传感器的波段参数。

采用IRS-P6遥感数据监测密云水库水质及评价营养状况

为了解密云水库水体营养状态的空间分布特点及规律,防止水体向富营养化状态发展,该文利用IRS-P6卫星影像对密云水库水质进行监测。探讨了利用IRS-P6遥感数据定量反演密云水库Chla浓度的方法,借助半经验回归模型进行密云水库水体Chla浓度提取。在此基础上利用修正卡尔森指数法评价密云水库水体富营养化程度,并给出了密云水库水体不同营养状态空间分布图。2005年11月的监测结果表明,密云水库水体营养状态整体处于中营养化水平,东库区水体富营养化程度高于西库区。

基于SE-Workbench-IR的红外视景仿真研究

随着仿真技术的发展，红外视景仿真在军事领域的作用和带来的效益日益突出。为拓展红外视景仿真的研究手段，文中介绍了一个先进的红外视景仿真平台——SE-workbench-IR．并在此基础上对基于SE-Workbench-IR的红外视景仿真方法及其应用进行了研究。结果表明，SE—Workbench—IR可以实现高逼真度和多波段的红外视景仿真。

红外成像技术在高分子材料表征中的应用

红外成像技术是基于官能团特征进行成像的一种先进的化学成像方法,集红外光谱和显微分析于一体,能够直接反映样品微区内(从微米到毫米)真实的化学组成信息和空间分布信息,从分子水平上可视化地识别样品精细结构,空间分辨率高,是多组分体系样品显微分析强有力的工具。该技术自发展之初就在高分子材料分析和表征领域受到广泛关注。本文阐述了红外成像技术的基本原理,详细介绍了红外成像系统的仪器构造与工作模式,以及常用图像采集、图像预处理和图像分析的方法,总结了近年来红外成像技术在高分子材料表征领域中的一些典型应用,包括结晶和取向研究、共混物相容性研究、聚合反应及聚合物溶解、降解的可视化动力学研究、聚合物基组织工程材料的矿化研究、药物释放及微塑料分析的研究等。此外,还对红外成像在生命科学与临床诊断方面的研究进展作了简介。最后对红外成像技术的发展趋势进行展望。希望本文能够起到抛砖引玉的作用,帮助读者深刻理解红外成像这门先进的技术,进一步拓展其在聚合物材料领域中的应用。

喀斯特高原山区IRS-P6影像最佳融合方法选择研究——以贵州平塘县四寨镇为例

贵州处于中国西南喀斯特的腹心地带,属岩溶高原山区,生态环境背景复杂,地表切割剧烈,海拔落差大,坡度较陡,同时地处季风气候区还伴有常年多云多雨现象,因此卫星遥感数据质量常受到严重影响。文章以贵州南部平塘县四寨镇为例,主要针对IRS-P 6卫星遥感影像的多光谱4,3,2波段与其全色PAN波段之间的融合,运用比值变换、主成分分析法(PCA)、乘法变换和IHS变换四种常见融合方法进行对比分析,并对融合后的影像进行主观定性评价和客观定量评价。研究表明IHS融合法效果相对最好,在保持原多光谱影像光谱信息的同时,大大提高了影像的空间分辨率,改善了图像的目视效果,清晰度和纹理细节表现力也得到了较大的提高,是一种适宜于亚热带喀斯特高原地区的融合方法,对解决喀斯特高原山区受雨云天气条件限制难以获取高质量影像的问题有重要意义。

新型染料IR-808靶向肿瘤近红外荧光成像的体内研究

目的探讨近红外荧光染料IR-808在移植瘤动物模型中特异性的肿瘤靶向示踪作用。方法建立人肺癌细胞系NCI-H460、结肠癌细胞系HCT-116及鼠源肝癌细胞系Hepa 1-6皮下移植瘤裸小鼠模型,未接种癌细胞的裸小鼠作对照。尾静脉注射同等剂量染料IR-808,分别在不同时间点对裸小鼠正常组织及肿瘤组织进行近红外荧光成像,追踪染料在裸小鼠体内的分布,评价其肿瘤靶向作用。结果在未接种的裸小鼠体内,IR-808染料首先在肝脏、心脏聚集,随后信号减弱,48h后基本代谢排出体外;在荷瘤裸小鼠模型体内,IR-808染料注入24h后开始靶向肿瘤,72h后荧光信号仍很稳定;取荷瘤裸小鼠组织进行近红外荧光成像,发现仅肿瘤组织有信号,其他组织无信号。全部实验小鼠状态良好,未见明显毒性反应。结论近红外荧光染料IR-808能特异性靶向肿瘤成像,且信号稳定,无明显毒性,具有重要的应用前景。