英语翻译Intensive studies have been devoted to developing reliab

英语翻译
Intensive studies have been devoted to developing reliable phase unwrapping algorithms,but each has advantages and disadvantages.Algorithms by temporal methods [15-19] project a series of fringe patterns with slightly different frequencies to the discontinuous surfaces in a time sequence.Unwrapping is executed from the comparison of each phase map.Algorithms by spatial methods [20-22] utilize only one projected pattern in which two or more sets of fringes with different frequencies are embedded together.The tolerance of depth discontinuities is therefore enlarged by the comparison of different sets of fringes.In general,temporal algorithms provide more accurate information of discontinuities since several frames are measured.However,they are time consuming and not suitable to detecting dynamic objects.It seems that spatial projection algorithms are more practical for the real-time performance.Unfortunately,the sampling density and contrast of fringes on the recorded image is relatively low.
Compared with the fringe projection method,phase unwrapping is not a critical problem for the structured light encoded method.In the method of structured light projection,each stripe on the image is identified by a unique code and therefore the ambiguity does not occur.The encoding algorithms can be further divided into two categories,namely temporal encoding algorithms [1-3] and spatial encoding algorithms [4-5].Algorithms that use temporal methods project a sequence of patterns with different number of stripes to the inspect surface temporally.Intensity of the stripe on the image is coded in binary or gray intensity levels.Each intensity level is assigned to a character.Thus,a code word,or a stream of coded characters,is created by the sequent projections.Stripes are identified by the code words if the code words are unique.Systematic accuracy can be as high as one pixel,depending on the number of projections.Again,the measuring procedure is time consuming and impractical to on-line inspection.In the spatial encoding algorithms,stripes are generally encoded by colors.A color CCD camera is utilized to record the color-encoded strips.The color illumination provides additional degree of freedom to identify the stripes.Thus,the stripe colors can be arranged in a specific order [5].Each stripe is then distinguishable by this order.
Approaches using color-encoded projection and those using fringe projection evaluated by Fourier transform method are both one-shot measurements,and therefore both are desirable to inspect dynamic objects.To analyze surfaces with large depth discontinuities,it seems that the color-encoded projection is more practical because the unwrapping ambiguity does not occur.However,systematic precision of the color-encoded projection is generally not high enough since the measurement accuracy is highly related to the strip width.
要求语句通顺 大意准确~翻得够好的话还有额外奖励哦

自己辛苦翻译的,希望楼主给分.因为专业所限,有些专业性词语可能不够准确：
为开发可靠的相位展开算法,业界进行过深入的研究.但现有算法各有利弊.文献[15-19]描述了时间相位展开算法.该类算法将一系列频率不同的图像条纹投影为时间序列中的多个离散平面,通过比较每个条纹对应的平面位图来进行相位展开.空间相位展开算法【20~22】将多个不同频率的条纹归为一类共同投影至一个模型中,通过对每类条纹的比较来增加算法对深度不连续性的容错性.一般来说,时间相位展开算法由于参与计算的帧数更多,因此在处理离散信息方面准确性比空间相位展开算法要好.然而这种算法耗时长,不适合检测动态对象.空间展开算法更适合实时应用.但是空间算法的采样密度和记录图像边缘对比度相对较低.
与边缘投影算法相比,相位展开算法在结构化光线编码算法中并不是首要问题.在结构化光线编码算法中,图像中的每个条纹被赋予一个唯一的编码,因此不会发生图像边缘模糊的问题.编码算法又可以细分为两类：时间编码【1~3】和空间编码【4~5】.时间编码算法将一系列数量各不相同的条纹组投影为时间序列上不同的平面,图像中条纹的密度被编码成二进制或灰度等级编码.每个不同的密度等级被赋予一个字符值,进而多个密度等级组成了一个编码词或字码序列.只要保证字码序列的唯一性,就可以由字码序列还原图像中的条纹.如果投影数量足够多,该算法的精确度理论上可以精确到每个像素.同样,这种方法耗费大量时间,不可用于在线实时监测.在空间编码算法中,图像中的条纹通常由颜色来编码,一台彩色CCD相机用来记录颜色编码的条纹,同时有颜色加强方法帮助标识条纹,因此条纹的颜色可以被重组成一个有序序列【5】,可以通过这个有序序列来区分图像中的每个条纹.
颜色编码算法和使用傅利叶变换的条纹投影算法都是一次性算法（线性算法）,因此,这两种算法都可用于对移动目标进行实时监测.考虑处理深度离散性很大的表面时的表现,颜色编码投影算法更为适合,因为去它不会产生相位展开算法带来的边缘模糊的副作用.但是,颜色编码投影算法的总体精度度并不高,因为算法精度和图像边缘宽度有很大关系.