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    • 7. 发明公开
    • 자연랜드마크 및 인공랜드마크와 엔코더를 이용한 지능형 이동로봇의 위치인식 방법
    • 使用自然地名,人造地名和编码器来定位智能移动机器人的方法
    • KR1020140032113A
    • 2014-03-14
    • KR1020120098558
    • 2012-09-06
    • (주)하기소닉
    • 송호정권석영허동혁김병극
    • B25J13/08G05D1/02
    • G05D1/0274G05D1/0246G06K9/46G06T5/20G06T2207/20101
    • Provided in the present invention is a position recognition method for an intelligent mobile robot using a natural landmark, an artificial landmark, and an encoder. The intelligent mobile robot comprises: an image obtaining unit which obtains an image; an image processing unit which processes the obtained image; a map generating unit which generates a map using the image processing results; a position recognizing unit which determines the position of a robot using the image processing results and the generated map; and a position combining unit which combines the determined position and the information on an encoder. The position recognition method for an intelligent mobile robot comprises as follows: a step of checking for a natural landmark or an artificial landmark in an inputted image; a step of removing noise on the above image where the natural landmark or the artificial landmark is checked; a step of extracting a feature point of the natural landmark from the image; a step of extracting a feature point of the artificial landmark from the inputted image; a step of performing a binarization algorithm using the extracted feature points; a step of matching by comparing the information on the performed binarization algorithm with the registered natural and artificial landmarks; a step of performing a position correcting motion using a Kalman filter; and a step of combining the corrected position and the encoder information. [Reference numerals] (AA) Input image; (BB) Check for a natural landmark inside the image; (CC) Check for an artificial landmark inside the image; (DD) Image preprocessing for removing noise; (EE) Extract a feature point of the natural landmark; (FF) Extract a feature point of the artificial landmark; (GG) Is there an external light source (sunlight, lamp)?; (HH) Apply a general binarization algorithm; (II) Apply a strong binarization algorithm against the external light source; (JJ) Compare and match an object on the current screen with the registered natural landmark and artificial landmark; (KK) Remove data noise using a Kalman filter and correct the position; (LL) Detect a heading angle along a straight line fixated to the object; (MM) Is there an artificial landmark?; (NN) Input encoder information; (OO) Calculate the movement/direction; (PP) Is there a natural landmark?; (QQ) Calculate the position using an encoder moving distance; (RR) Calculate the position by converging the natural landmark and the encoder data; (SS) Output the coordinate; (TT) End
    • 在本发明中提供了一种使用天然地标,人造地标和编码器的智能移动机器人的位置识别方法。 智能移动机器人包括:获取图像的图像获取单元; 处理所获得的图像的图像处理单元; 地图生成单元,其使用图像处理结果生成地图; 位置识别单元,其使用所述图像处理结果和所生成的图确定机器人的位置; 以及将确定的位置和编码器上的信息组合的位置组合单元。 智能移动机器人的位置识别方法包括以下步骤:在输入图像中检查自然地标或人造地标的步骤; 在检查天然地标或人造地标的上述图像上去除噪声的步骤; 从图像中提取自然地标的特征点的步骤; 从输入图像中提取人造地标的特征点的步骤; 使用所提取的特征点执行二值化算法的步骤; 通过将所执行的二值化算法的信息与登记的自然和人造地标进行比较来匹配的步骤; 使用卡尔曼滤波器执行位置校正运动的步骤; 以及组合校正位置和编码器信息的步骤。 (附图标记)(AA)输入图像; (BB)检查图像内的自然地标; (CC)检查图像内的人造地标; (DD)去除噪声的图像预处理; (EE)提取天然地标的特征点; (FF)提取人造地标的特征点; (GG)是否有外部光源(阳光,灯)? (HH)应用一般二值化算法; (二)对外部光源应用强二值化算法; (JJ)将当前屏幕上的对象与注册的天然地标和人造地标进行比较和匹配; (KK)使用卡尔曼滤波器去除数据噪声并校正位置; (LL)沿着固定在物体上的直线检测航向角; (MM)有没有人造地标? (NN)输入编码器信息; (OO)计算运动/方向; (PP)有没有自然的地标? (QQ)使用编码器移动距离计算位置; (RR)通过收敛天然地标和编码器数据计算位置; (SS)输出坐标; (TT)结束
    • 9. 发明授权
    • 의료영상에서의 세그멘테이션 방법 및 그 장치
    • 医学图像分类方法及其设备
    • KR101185728B1
    • 2012-09-25
    • KR1020110095149
    • 2011-09-21
    • 주식회사 인피니트헬스케어
    • 김수경김한영
    • A61B6/03G06F3/01G06F3/041
    • G06T7/11G06T2207/20101G06T2207/30004A61B6/03G06F3/01G06F3/041G06F3/14
    • PURPOSE: A method and apparatus for segmenting a medical image are provided to obtain the optimum 3D segmentation volume by determining the optimum segmentation seed according to the kind of lesion. CONSTITUTION: Location information of a pointer is extracted according to the input of a user(S120). The kind of a lesion shown in a slice medical image is determined(S150). A segmentation region including the location of the pointer is determined by performing a predetermined segmentation algorithm according to the kind of the lesion(S160). The determined segmentation region is selected as a lesion diagnosis region of the slice medical image. [Reference numerals] (AA) Start; (BB) Finish; (S110) Controlling a pointer according to a user input; (S120) Extracting the location information of a pointer; (S130) Removing granular noise; (S140) Extracting the optimum location information of a pointer; (S150) Determining the kind of lesion based on an angle profile and medical image information relating to the optimum location information; (S160) Determining a segmentation region using a preset segmentation algorithm according to the kind of lesion; (S170) Previously displaying the determined segmentation region on a slice medical image; (S180) Is the selection of a user determined?; (S190) Determining the selected segmentation region as a seed of a three dimensional volume segmentation; (S200) Determining each segmentation region of a plurality of different slice medical images as the seed; (S210) Generating a three dimensional segmentation using a seed and segmentation regions
    • 目的:提供用于分割医学图像的方法和装置,以通过根据病变的种类确定最佳分割种子来获得最佳3D分割体积。 构成:根据用户的输入提取指针的位置信息(S120)。 确定切片医学图像中显示的病变的种类(S150)。 通过根据病变的种类执行预定的分割算法来确定包括指针的位置的分割区域(S160)。 选择确定的分割区域作为切片医学图像的病变诊断区域。 (附图标记)(AA)开始; (BB)完成; (S110)根据用户输入控制指针; (S120)提取指针的位置信息; (S130)去除颗粒噪声; (S140)提取指针的最佳位置信息; (S150)基于与最佳位置信息有关的角度轮廓和医学图像信息来确定病变的种类; (S160)使用根据病变种类的预设分割算法确定分割区域; (S170)先前在切片医学图像上显示所确定的分割区域; (S180)用户的选择是否确定? (S190)将选择的分割区域确定为三维体积分割的种子; (S200)确定多个不同切片医学图像的每个分割区域作为种子; (S210)使用种子和分割区域生成三维分割
    • 10. 发明授权
    • 3차원 초음파 영상을 제공하는 초음파 시스템 및 방법
    • 超声波系统和提供三维超声图像的方法
    • KR101175426B1
    • 2012-08-20
    • KR1020100006722
    • 2010-01-26
    • 삼성메디슨 주식회사
    • 유재흥양은호
    • A61B8/14G06T17/00
    • A61B8/00A61B8/483G01S15/8993G06T7/12G06T7/174G06T2207/10136G06T2207/20101G06T2207/30101
    • 3차원초음파영상을제공하는초음파시스템및 방법이개시된다. 본발명에따른초음파시스템은, 초음파신호를대상체 - 대상체는복수의관심객체를포함함 - 에송신하고, 대상체로부터반사되는초음파에코신호를수신하여, 대상체에대한복수의초음파데이터를획득하도록동작하는초음파데이터획득부; 사용자의입력정보를수신하도록동작하는사용자입력부; 및복수의초음파데이터를이용하여 2차원초음파영상및 3차원초음파영상을형성하고, 입력정보에해당하는 2차원초음파영상의관심객체를 3차원초음파영상에서추출하고, 추출된관심객체에대해컬러처리및 크기측정을수행하도록동작하는프로세서를포함한다.
    • 公开了用于在三维超声图像上执行图像处理和尺寸测量的实施例。 在一个实施例中,作为非限制性示例,超声系统包括:用户输入单元,被配置为接收用于在来自用户的二维超声图像上设置至少一个种子点的输入信息; 超声数据获取单元,被配置为向包括多个感兴趣对象的目标对象发送和从目标对象接收超声信号并输出​​超声波数据; 以及与所述用户输入单元和所述超声数据获取单元通信的处理单元,所述处理单元被配置为基于所述超声数据形成体数据,形成所述二维超声图像和基于体积的三维超声图像 数据,从三维超声波图像中检测与输入信息相对应的至少一个感兴趣的对象,并且在三维超声图像上执行检测到的对象的图像处理和尺寸测量。