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论文作者:www.51lunwen.org论文属性:学术文章 Scholarship Essay登出时间:2015-03-01编辑:Cinderella点击率:10149
论文字数:3012论文编号:org201502062144114550语种:英语 English地区:美国价格:免费论文
关键词:computer vision algorithmsShadows图象阴影
摘要:本文研究了计算机视觉算法当中的图像阴影问题。作者对自身阴影和投射阴影两大类阴影作出了深入探讨。
Segmentation subdivides an image into it’s constitute regions or objects. The level to which the subdivision is carried depends on the problem being solved. Segmentation means the process of partitioning or segregating a digital image into multiple segments (sets of pixels, also known as super pixels).That is, segmentation should stop when the objects of interests in an application have been isolated. Image segmentation algorithms generally are based on one of two basic properties of intensity values: discontinuity and similarity. Obviously; Image segmentation is very helpful to accurately judge the objects and its boundary structure by lines, curves, etc. Specifically it can be understood to be the process of pixel labeling, grouping and sharing of visual characteristics.
2.PROPOSED APPROACH
An image is made up of a set of pixels, and each pixel reflects the light that has been received at a sensor in a digital camera or other optical sensor. The light that hits the sensor is made up of two main components, the illumination component that reflects the color and intensity of the illuminant, and the reflectance component which captures the surface reflectance properties, namely the color of the object reflecting the light. It is these two components that define the properties of the light that hits the sensor. Further, the sensor converts the light into a digital signal, with a certain amount of noise. Color constancy is concerned with finding an intrinsic measurement of the color of the surface at a pixel in such a way that the measure will be the same for that same surface independent of any illumination effects, and is useful for recognizing specific colors across images, or even within the same image if the lighting conditions vary within the image. Simply put, we wish to find a way of specifying that a red ball has a specific color value that it will retain in any image of the ball under any lighting condition. Color constancy then can be used for object recognition tasks, or for more specialized tasks such as shadow removal, which is what we will be concerning ourselves with. Color is often analyzed by considering three separate channels, red, green and blue, and for the purposes of this report we will use this RGB color model. The intensity, then, of each of these three color channels can be described by the following equation
This algorithm assigns each training vector to multiple clusters and belongingness of the vector to a certain cluster is specified by a membership value between zero and one. In this way this algorithm specifies degree of membership of each vector in each of the K clusters. Suppose that the objective is to segment objects of a specified color range in an RGB image. Given a set of sample color points representative of the colors of interest. We obtain an estimate of the average color that we wish to seg本论文由英语论文网提供整理,提供论文代写,英语论文代写,代写论文,代写英语论文,代写留学生论文,代写英文论文,留学生论文代写相关核心关键词搜索。