公开(公告)号：US06502105B1

公开(公告)日：2002-12-31

申请号：US09232896

申请日：1999-01-15

申请人： Yong Yan ,  Cedric Y. Caron ,  Kiran Challapali

发明人： Yong Yan ,  Cedric Y. Caron ,  Kiran Challapali

IPC分类号： G06F1700

CPC分类号： G06F17/30259 ,  Y10S707/99945 ,  Y10S707/99948

摘要： The system disclosed herein builds a database of image-related data by inputting a plurality of images, and for each image: dividing the image into N1 (N1≧1) regions which are substantially homogenous with respect to at least one attribute of the image, generating a graph based on M1 (M1≧1) of the N1 regions, and storing data for the graph in the database. The database may then be used to determine whether a query image is similar to one or more of the plurality of images. To this end, the system inputs the query image, and divides the query image into N2 (N2≧1) regions which are substantially homogenous with respect to at least one attribute of the query image. The system then generates a graph based on M2 (M2≧1) of the N2 regions, and compares the generated graph to other graphs in the database that correspond to the plurality of images. Thereafter, an image is retrieved from memory that has a graph that is substantially similar to the generated graph.

摘要翻译： 本文所公开的系统通过输入多个图像构建图像相关数据的数据库，并且对于每个图像：将图像分割成相对于图像的至少一个属性基本均匀的N1（N1> = 1）个区域 生成基于N1区域的M1（M1> = 1）的图形，并将图形的数据存储在数据库中。 然后可以使用数据库来确定查询图像是否类似于多个图像中的一个或多个。 为此，系统输入查询图像，并将查询图像划分成相对于查询图像的至少一个属性基本均匀的N2（N2> = 1）区域。 然后，该系统基于N2区域的M2（M2> = 1）生成图形，并且将生成的图形与数据库中对应于多个图像的其他图形进行比较。 此后，从具有基本上类似于生成的图形的图形的存储器中检索图像。

公开(公告)号：US06577759B1

公开(公告)日：2003-06-10

申请号：US09375951

申请日：1999-08-17

申请人： Cedric Y. Caron ,  Yong Yan ,  Kiran Challapali

发明人： Cedric Y. Caron ,  Yong Yan ,  Kiran Challapali

IPC分类号： G06K934

CPC分类号： G06K9/342 ,  G06F17/3025 ,  G06K9/4652 ,  G06T7/11 ,  G06T2207/10016

摘要： There is disclosed an image retrieval system for analyzing an image in a first color model format and detecting and retrieving from the image a selected image portion. The image retrieval system comprises an image processor for converting pixels in the image from the first color model format to a (Yr&thgr;) color model format, where Y is an intensity component indicating a total amount of light, r is a saturation component indicating an amount of white light mixed with a color of each pixel, and &thgr; is a hue component indicating the color of each pixel. The image processor groups spatially adjacent pixels into image regions according to hue components of the adjacent pixels and performs a merging process wherein a first image region and an adjacent second image region are merged into a composite region if a hue difference between the first and second image regions is less than a predetermined hue difference threshold. The process is repeated to continually merge regions of similar hue until no further merges can be performed.

摘要翻译： 公开了一种图像检索系统，用于分析第一颜色模型格式的图像，并从图像中检测和检索所选择的图像部分。 图像检索系统包括用于将图像中的像素从第一颜色模型格式转换为（Yrtheta）颜色模型格式的图像处理器，其中Y是指示总光量的强度分量，r是指示量的饱和分量 的白色光与每个像素的颜色混合，θ是表示每个像素的颜色的色调分量。 图像处理器根据相邻像素的色调分量将空间相邻像素组合成图像区域，并且执行合并处理，其中如果第一图像和第二图像之间的色调差异，则第一图像区域和相邻第二图像区域被合并到复合区域中 区域小于预定色调差值阈值。 重复该过程以连续合并相似色调的区域，直到不能进一步合并为止。