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    • 2. 发明授权
    • Image processing apparatus, image processing method, and computer-readable medium and computer data signal
    • 图像处理装置,图像处理方法以及计算机可读介质和计算机数据信号
    • US08532401B2
    • 2013-09-10
    • US12499857
    • 2009-07-09
    • Noriji KatoTakashi IsozakiMotofumi Fukui
    • Noriji KatoTakashi IsozakiMotofumi Fukui
    • G06K9/68
    • G06K9/4638G06T7/0014G06T7/194G06T2207/20021G06T2207/20076G06T2207/30108
    • An image processing apparatus includes a dividing unit, a first extracting unit, a quantizing unit, a generating unit and an image output unit. The dividing unit divides an object image into regions. The first extracting unit extracts image features of the regions generated by the dividing unit. The quantizing unit quantizes the image features extracted by the first extracting unit. The generating unit generates an expected value of an occurrence probability of each topic variable indicating similar images from the image features quantized by the quantizing unit, using a correlation between the image features quantized by the quantizing unit and the topic variables. The image output unit outputs an image of a defective portion in the object image, using the expected values of the occurrence probabilities of the topic variables generated by the generating unit.
    • 一种图像处理装置,包括分割单元,第一提取单元,量化单元,生成单元和图像输出单元。 分割单元将对象图像划分为区域。 第一提取单元提取由分割单元生成的区域的图像特征。 量化单元量化由第一提取单元提取的图像特征。 生成单元使用由量化单元量化的图像特征与主题变量之间的相关性,生成表示来自由量化单元量化的图像特征的相似图像的每个主题变量的发生概率的期望值。 图像输出单元使用由生成单元生成的主题变量的发生概率的期望值,输出对象图像中的缺陷部分的图像。
    • 3. 发明申请
    • SIMILAR IMAGE PROVIDING DEVICE, METHOD AND PROGRAM STORAGE MEDIUM
    • 类似图像提供设备,方法和程序存储介质
    • US20100076921A1
    • 2010-03-25
    • US12557137
    • 2009-09-10
    • Noriji KATOTakashi IsozakiMotofumi Fukui
    • Noriji KATOTakashi IsozakiMotofumi Fukui
    • G06N5/02
    • G06K9/3233G06F19/00G06F19/321G06K2209/053G06T7/0012G06T7/11G06T2207/10072G06T2207/30096
    • There is provided a similar image providing device including: a lesion region extracting unit that extracts a lesion region from a subject diagnostic image; a local image feature extracting unit that extracts local image features; a quantizing unit that quantizes the local image features; a lesion classifying unit that classifies a lesion; a storing unit storing correlation coefficients between local image features and topic variables expressing degrees of progression or degrees of seriousness of lesions; an expected value estimating unit that acquires expected values of probabilities of occurrence of topic variables; an image storing unit that stores diagnostic images and the expected values; and a providing unit that provides diagnostic images corresponding to expected values of topic probabilities of occurrence that best approximate the expected values of the topic probabilities of occurrence.
    • 提供了一种类似的图像提供装置,包括:病变区域提取单元,从对象诊断图像提取病变区域; 本地图像特征提取单元,其提取局部图像特征; 用于量化局部图像特征的量化单元; 对病变进行分类的病变分类单元; 存储单元,其存储局部图像特征与表示病变程度或程度严重程度的主题变量之间的相关系数; 期望值估计单元,其获取主题变量的发生概率的期望值; 存储诊断图像和预期值的图像存储单元; 以及提供单元,其提供对应于最佳近似于主题发生概率的期望值的主题概率概率的诊断图像。
    • 5. 发明申请
    • INFORMATION PROCESSING DEVICE, COMPUTER READABLE RECORDING MEDIUM, AND INFORMATION PROCESSING METHOD
    • 信息处理装置,计算机可读记录介质和信息处理方法
    • US20080294743A1
    • 2008-11-27
    • US12031763
    • 2008-02-15
    • Noriji KatoTakashi Isozaki
    • Noriji KatoTakashi Isozaki
    • G06F15/16G06F3/00
    • H04L67/22G06Q10/10
    • An information processing device includes: a first acquiring unit that acquires user operation information with respect to information in a server, based on a history stored in the server; a second acquiring unit that acquires a user operation history in a user terminal; a first creating unit that creates user behavior information with respect to the information in the server, based on the user operation information acquired by the first acquiring unit and the user operation history acquired by the second acquiring unit; a second creating unit that inquires of the user terminal for the priority level of sample information, and creates a probability table of priority levels of items included in the user behavior information; and an estimating unit that estimates the priority level of the information in the server for the user, based on the user behavior information created by the first creating unit and the priority level probability table created by the second creating unit.
    • 信息处理装置包括:第一获取单元,基于存储在服务器中的历史来获取关于服务器中的信息的用户操作信息; 第二获取单元,其获取用户终端中的用户操作历史; 第一创建单元,基于由第一获取单元获取的用户操作信息和由第二获取单元获取的用户操作历史,创建关于服务器中的信息的用户行为信息; 第二创建单元,向用户终端查询样本信息的优先级,并创建包括在用户行为信息中的项目的优先级的概率表; 以及估计单元,基于由第一创建单元创建的用户行为信息和由第二创建单元创建的优先级概率表,估计用户的服务器中的信息的优先级。
    • 6. 发明申请
    • Computing device, method of controlling the computing device, and computer readable medium recording a program
    • 计算装置,控制计算装置的方法以及记录程序的计算机可读介质
    • US20080228676A1
    • 2008-09-18
    • US11907365
    • 2007-10-11
    • Takashi IsozakiNoriji Kato
    • Takashi IsozakiNoriji Kato
    • G06F15/18
    • G06N7/005
    • A computing device stores a Bayesian network (20) which includes nodes (22) representing random variables and conditional probability indicating a dependence between the nodes, and at least one learned data table (30) in which a value of a random variable represented by the node included in the Bayesian network (20) is associated with a value of learned data inputted to the Bayesian network (20) concerning at least one of the nodes included in the Bayesian network; updates the learned data table (30); acquires the learned data inputted to the Bayesian network (20); and calculates a certainty factor of a value of a random variable represented by a node having a dependence with the node representing the random variable associated with the value of the learned data acquired by an acquisition section, at least based on the value of the random variable associated with the value of the learned data.
    • 计算设备存储贝叶斯网络(20),其包括表示随机变量的节点(22)和指示节点之间的依赖关系的条件概率,以及至少一个学习数据表(30),其中由 包括在贝叶斯网络(20)中的节点与输入到贝叶斯网络(20)的学习数据的值相关联,涉及包含在贝叶斯网络中的至少一个节点; 更新学习数据表(30); 获取输入到贝叶斯网络(20)的学习数据; 并且至少基于所述随机变量的值,计算由具有与所述节点表示依赖关系的随机变量的值的确定性因子,所述节点表示与获取部分获取的学习数据的值相关联的随机变量 与学习数据的值相关联。