感兴趣区域

• Digital camera , as a representative product of 20 century ' s information techique development , was widly in the favor of most users for its high performance , easy operation , simply interface with pc and multimedia network , as soon as it come forth
  具有高压缩率、兼具无损压缩和有损压缩、可渐进传输、可感兴趣区域压缩、码流随机访问和处理、良好的容错性、基于内容的描述等优良特性。
• Firstly , given the seed point of the interesting region , it detects the edge points that has the shortest distance to seed point in some directions , takes these points as the control points to form the initial b - spline active contour
  该方法是一种图像两步分割方法，给出位于感兴趣区域内的种子点后，首先用canny算子检测出各个方向上与种子点最近的棱边点，以这些点为控制点，形成初始的b样条活动围道。
• The establishment of the international standard jpeg2000 provides a new way for the coding of the rs images . it could well meet the rs image compression requirements . among the jpeg2000 characteristics , the region of interest ( roi ) coding is more important to the rs image compression
  Jpeg2000标准所具有的良好特性可使其很好地满足遥感图象的压缩要求,尤其是它的感兴趣区域roi ( regionofinterest )编码技术对遥感图象的压缩尤为重要。
• Based on the processed images , we can do the further computerized quantitative measure of parameters including area , perimeter , integrated optical density , average diameter , shape factor , number of bifurcation and end points , etc . our self - developed and localized system has a reliable property and a high ratio of performance and cost proved by our experiment
  对感兴趣区域内的目标自动测量参数，如：面积、周长、综合光密度、平均直径、形状因子、三叉点、端点等。与其它类似系统相比，本系统具有性能稳定，开发成本低，技术性能价格比高的优点，成为国内医务人员易于掌握与使用的医学应用系统。
• 4 in the post processing of correlation signal , in order to improved the recognition possibility to the distorted multi - object , we increase the amount of information of roi and choose the optimal numbers of neurons . so the roi could include enough feature but does not make the cpu burdened too much . on the other hand , a new method of selecting roi is realized , as a result , recognition possibility was increased and the number of samples for ann trainning decreased
  4 、在相关信号后处理中，为了增强人工神经网络( ann )对畸变多目标的判别能力，一方面增大了感兴趣区域( roi )的信息量、优选了神经元数目，使roi既能充分包含相关峰的特征，又不至于过分增加计算机的计算负担；另一方面，提出并实现了一个从众多的roi中选取最有效的少数roi的算法，不仅大大提高了ann的识别效果，还使供ann训练的采样数目降低一个数量级。
• The paper analysis the image compression standard of jpeg2000 for the generality , describe the roi coding of jpeg2000 , in the same time , the author briefly introduce wavelet theory which is the basis of the discrete wavelet algorithm adopted by jpeg2000 , analysis the algorithm of roi based on discrete wavelet transform . finally the author carry on the detailed analysis to ebcot algorithm and to the multiple rois method , analysis every block of encoding , proposes one coding algorithm of roi based on ebcot and proposes one method can realize image multiple roi and multiple quality compression
  本文从一般性出发分析了jpeg2000标准,对jpeg2000的roi编码进行了描述,同时对jpeg2000采用的离散小波变换算法的理论基础进行了介绍,分析了基于小波变换的图像感兴趣区域编码方法。最后特别对jpeg2000标准的ebcot算法和多兴趣区域编码方法进行了详细的研究,对编码的各个环节进行了分析,提出了基于ebcot的感兴趣区域编码算法及实现多兴趣区域多质量的压缩的编码方法。
• 4 . an roi coding method realized by foveation technology and two of its extended applications are presented . by unevenly upscaling the wavelet coefficients , the method can not only reconstruct the roi data priorly in a low bit - rate codestream , but make the progressive reconstruction of the image data more convenient for the human vision system
  该方法根据人类视觉生理特点，将小波变换系数进行非均匀的上移位处理，不仅能够保证感兴趣区域图像数据在低比特数据流中的优先恢复，还实现了使图像的渐进恢复过程更加适合人类生理视觉感观特点的效果。
• The purpose of this theme is to classify sar images into four regions : man - made targets ( vehicles and buildings ) , natural targets ( trees and shrubbery ) , background ( field and grass ) and shadow ( the target shadow and mirror scatter ) . on the one hand , the processed results can be directly used as image product , which offer necessary parameters for expert ' s interpretation to build up an independent auxiliary interpreting system . on the other hand , the results can be introduced into sar image interpreting system as the replacing target detection and discrimination models with layer rois ( region of interest ) in order to provide potential target chips
  具体内容为：根据sar图像基本特性，提取可靠特征，将图像区分为人造目标(机动车辆、建筑物等) 、自然目标(树木、灌木、树林等) 、背景(草地、平地、植被等)和阴影(目标阴影、镜面散射体等)四种类别，为不同的应用提供对应的感兴趣区域( roi ) 。
• The image compression technology based on region of interest utilizes different compression to different area in an image , it can solve the contradiction between the image quality and the compression rate . in the paper , first , the research background and development of image processing are introduced ; then an algorithm utilizes integer - to - integer wavelet transform , maxshift and spiht is brought forward
  图像的感兴趣区域压缩编码技术，即在图像中的感兴趣区域( roi )进行无损或近无损压缩，而在其它区域采用有损压缩，从而既可以获得所期望的高质量的图像信息，又保持了较高的压缩比，很好地解决了压缩比和图像质量之间的矛盾。
• ( 2 ) after statistical experiment on color indexes of weed images which were acquired in various illumination intensity , soil humidity and remains coverage , it pointed out that hue and relative color index are insensitive to illumination intensity , soil humidity , remains coverage and shadow , hue and excess green have a distinct contrast between plant and non - plant , but can not be used to identify corn and seed
  ( 2 )利用自行开发的aoi (感兴趣区域)工具，通过对不同土壤湿度、光照强度和残茬覆盖率下的杂草图像进行颜色指数测定与分析，指出色度及过绿特征对光照强度、土壤湿度、残茬覆盖率、植物阴影的影响不敏感，且在植物与非植物之间存在足够的对比度，但不能用于玉米与杂草，或阔叶杂草与窄叶杂草的识别。