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公开(公告)号：KR1020160054306A
公开(公告)日：2016-05-16
申请号：KR1020140153740
申请日：2014-11-06
Applicant: 삼성전자주식회사 , 전남대학교산학협력단
CPC classification number: A61K49/0097 , A61K49/0045 , G01N33/5005 , A61K47/51 , G01N33/582
Abstract: 노화조직모니터링용조성물, 개체의노화조직을모니터링하는방법, 및노화조직으로의약물전달용조성물을제공한다.
Abstract translation: 提供：用于监测老化组织的组合物; 监测个体老年组织的方法; 以及用于将药物递送至老化组织的组合物。 用于监测包含细菌的老化组织的组合物包含报告基因和突变的relA，spoT或其组合。 一方面，用于监测老年组织的组合物和用于监测个体的老化组织的方法能够有效监测老化组织。
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2.发明公开
公开(公告)号：KR1020160049875A
公开(公告)日：2016-05-10
申请号：KR1020140147629
申请日：2014-10-28
Applicant: 삼성전자주식회사 , 전남대학교산학협력단
IPC: C07K19/00 , C07K14/195 , A61K38/16 , A61P1/02
CPC classification number: C07K14/195 , A61K38/164 , C07K14/28 , C07K2319/00
Abstract: 플라젤린또는이의단편, 및치주질환유발병원체의단백질또는이의단편을포함하는재조합융합단백질, 이를포함하는약학적조성물, 및이를치주질환예방또는치료방법을제공한다. 이에의하면, 치주질환을효과적으로예방또는치료하는데이용할수 있다.
Abstract translation: 本发明提供了包含鞭毛蛋白或其片段的重组融合蛋白，以及诱导牙周病的病原体的蛋白质或其片段。 本发明还提供含有该组合物的药物组合物，以及使用其的牙周病的预防或治疗方法。 根据本发明，可以有效地防止或治疗牙周疾病。
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3.发明公开탈모 예방 또는 치료용 약학적 조성물, 탈모 예방 또는 치료 방법, 및 탈모 예방, 치료, 또는 개선용 물질의 스크리닝 방법 审中-实审用于防止或处理毛发损失的组合物或方法，以及用于防止毛发损失的材料的预防，处理或消除的筛选方法
公开(公告)号：KR1020160049874A
公开(公告)日：2016-05-10
申请号：KR1020140147628
申请日：2014-10-28
Applicant: 삼성전자주식회사 , 전남대학교산학협력단
CPC classification number: A61K48/005 , A61K36/00 , A61K38/00 , A61Q7/00
Abstract: 탈모예방또는치료용약학적조성물, 탈모예방또는개선용화장용조성물, 탈모예방또는치료방법, 탈모예방또는개선방법, 및탈모예방, 치료, 또는개선용물질의스크리닝방법을제공한다. 이에의하면, 탈모를효과적으로예방, 치료또는개선하기위해사용할수 있고, 탈모예방, 치료, 또는개선에효과적인물질을효율적으로선별할수 있다.
Abstract translation: 提供用于预防或治疗脱发的药物组合物，用于预防或改善脱发的化妆品组合物，预防或治疗脱发的方法，以及用于筛选用于预防，治疗或改善脱发的材料的方法。 因此，可以有效地防止，治疗或改善脱发，并且可以有效地选择有效预防，治疗或改善脱发的材料。 用于预防或治疗脱发的药物组合物包括选自增加角蛋白17（Krt17）转录物的量的活化剂或由其编码的蛋白质的组中的一种或多种材料; 增加1型胶原1（Col1a1）转录物或由其编码的蛋白质的量的活化剂; 减少原纤维蛋白1（FBn1）转录物或由其编码的蛋白质的量的抑制剂; 和减少核心蛋白聚糖（Dcn）转录物或由其编码的蛋白质的量的抑制剂。
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Patent Agency Ranking
公开(公告)号：KR101215569B1
公开(公告)日：2012-12-26
申请号：KR1020110146589
申请日：2011-12-29
Applicant: 전남대학교산학협력단
CPC classification number: G06K9/50 , G06K9/6202 , G06T7/12
Abstract: PURPOSE: A label area division method is provided to enable a user to receive or purchase a product including a label by recognizing a label area from an input image. CONSTITUTION: An importance area creation unit creates a predetermined area of an input image as an importance area(S1000). A vertical edge detection unit detects two vertical edges from the importance area and creates an area which is covered with the vertical edges as a label candidate area(S2000). A label area encoding unit creates encoded label area code by calculating the similarity of a direction and a size between pixels in a boundary of the label candidate area(S4000). A label area separation unit separates an area matched with the label area code from the input image(S5000). [Reference numerals] (S1000) Creating an importance area; (S2000) Creating vertical edges and a label candidate area which is covered by the vertical edges; (S3000) Detecting horizontal edges which cross with vertical edges; (S4000) Creating a label area code connected to vertical edges and horizontal edges; (S5000) Dividing a label area matching with a label code area in an inputted image
Abstract translation: 目的：提供一种标签区域分割方法，以使用户能够通过从输入图像中识别标签区域来接收或购买包括标签的产品。 构成：重要区域创建单元创建输入图像的预定区域作为重要区域（S1000）。 垂直边缘检测单元从重要性区域检测两个垂直边缘，并创建被垂直边缘覆盖的区域作为标签候选区域（S2000）。 标签区域编码单元通过计算标签候选区域的边界中的方向和像素之间的大小的相似度来创建编码标签区域代码（S4000）。 标签区域分离单元将与标签区域代码匹配的区域与输入图像分离（S5000）。 （S1000）创建重要区域; （S2000）创建垂直边缘和由垂直边缘覆盖的标签候选区域; （S3000）检测与垂直边缘交叉的水平边缘; （S4000）创建连接到垂直边缘和水平边缘的标签区域代码; （S5000）在输入图像中划分与标签代码区域匹配的标签区域
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公开(公告)号：KR101296734B1
公开(公告)日：2013-08-20
申请号：KR1020110146905
申请日：2011-12-30
Applicant: 전남대학교산학협력단
IPC: G06T7/00
Abstract: 본 발명은 가우시안 혼합 모델 및 알지비 클러스터링을 이용한 오브젝트 분할방법에 관한 것으로, 구체적으로는 이미지 내에 꽃과 같이 불특정한 모양을 갖는 오브젝트가 있는 경우, 사용자가 별도의 조작이 없이도 자동으로 상기 오브젝트를 인식하고 자동으로 분할할 수 있는 가우시안 혼합 모델 및 알지비 클러스터링을 이용한 오브젝트 분할방법에 관한 것이다.
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公开(公告)号：KR101281511B1
公开(公告)日：2013-07-03
申请号：KR1020120014646
申请日：2012-02-14
Applicant: 전남대학교산학협력단
CPC classification number: G06F19/10 , C12Q1/68 , G06T7/0012
Abstract: PURPOSE: A method for automatically analyzing a DNA fingerprint image and a system thereof are provided to divide and analyze the DNA fingerprint image into various small images when bending of a lane is generated, thereby accurately detecting the lane. CONSTITUTION: Image data of gel electrophoresis of polymerase chain reaction (PCR) is inputted and stored in a memory unit (120). When an analysis controller (100) reads the image data, an average lane width calculation unit (200) calculates average lane width for the read image data. A continuous area image processing unit (300) reads data which is calculated by the average lane width calculation unit; calculates data of a local maximum point among the image data; and removes a local maximum point which is wrongly calculated and detected. Lanes are detected by connecting local maximum points which the local maximum point, which is wrongly detected, is removed. [Reference numerals] (100) Analysis controller; (120) Memory unit; (200) Average lane width calculation unit; (210) Vertical projection profile processing unit; (220) K-means processing unit; (230) Lane width calculation unit; (300) Continuous area image processing unit; (310) Horizontal projection profile processing unit; (320) Image division processing unit; (330) Divided image vertical projection processing unit; (340) Local maximum point search unit; (350) Error local removal processing unit; (360) Lane configuration processing unit; (370) False lane removal processing unit; (400) Accuracy-reproductivity calculation unit
Abstract translation: 目的：提供一种自动分析DNA指纹图像的方法及其系统，用于在生成车道弯曲时将DNA指纹图像分割并分析成各种小图像，从而准确地检测车道。 构成：聚合酶链反应（PCR）的凝胶电泳图像数据被输入并存储在存储单元（120）中。 当分析控制器（100）读取图像数据时，平均车道宽度计算单元（200）计算读取的图像数据的平均车道宽度。 连续区域图像处理单元（300）读取由平均车道宽度计算单元计算的数据; 计算图像数据中的局部最大点的数据; 并删除错误计算和检测到的局部最大点。 通过连接本地最大点（错误检测到的局部最大点）被去除来检测车道。 （参考号）（100）分析控制器; （120）存储单元; （200）平均车道宽度计算单位; （210）垂直投影轮廓处理单元; （220）K-means处理单元; （230）车道宽度计算单位; （300）连续区域图像处理单元; （310）水平投影轮廓处理单元; （320）图像分割处理单元; （330）分割图像垂直投影处理单元; （340）本地最大点搜索单位; （350）错误本地删除处理单元; （360）车道配置处理单元; （370）虚假车道拆除处理单元; （400）精度 - 再现性计算单位
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9.发明授权폐 시티에서 좌우 폐의 영역을 분리하는 방법, 그 방법을 수행하기 위한 프로그램이 저장된 컴퓨터로 읽을 수 있는 매체 및 그 프로그램이 저장된 서버 시스템 有权分离方法使用顺序CT图像的3D信息，计算机可读存储介质实施方法和存储程序的系统的分离方法
公开(公告)号：KR101092470B1
公开(公告)日：2011-12-13
申请号：KR1020100130269
申请日：2010-12-17
Applicant: 전남대학교산학협력단
Abstract: PURPOSE: A method for separating a CT picture of a lung into right/left lung areas, a computer readable medium with a program for performing the method, and a server system with the program are provided to automatically and quickly separate one area connected to a left lung area and a right lung area in a CT picture about a lung into right/left lung areas, thereby obtaining high reliability during separation. CONSTITUTION: Tomography images of a lung CT are successively inspected. A current tomography image(100CI) is detected. An area(100ab) where right/left lungs are connected to each other exists in the current tomography image. A left lung boundary line and a right lung boundary line are detected. A pair of pixels are extracted among pixels in the left lung boundary line and pixels in the right lung boundary line wherein the pair of pixels are closest. The location of the central point between the pair of pixels is calculated.
Abstract translation: 目的：一种将肺部CT图像分离为右肺/左肺区域的方法，具有用于执行该方法的程序的计算机可读介质以及具有该程序的服务器系统，用于自动且快速地将连接到 左肺区域和右肺区域的CT图像中的肺部进入右/左肺区域，从而在分离期间获得高可靠性。 构成：依次检查肺CT的断层摄影图像。 检测当前断层图像（100CI）。 在当前断层图像中存在右肺/左肺彼此连接的区域（100ab）。 检测左肺边界线和右肺边界线。 在左肺边界线的像素和右肺边界线中的像素最靠近的像素之间提取一对像素。 计算一对像素之间的中心点的位置。
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公开(公告)号：KR1020130078130A
公开(公告)日：2013-07-10
申请号：KR1020110146905
申请日：2011-12-30
Applicant: 전남대학교산학협력단
IPC: G06T7/00
CPC classification number: G06K9/00577 , G06T7/10
Abstract: PURPOSE: An object dividing method using a gaussian mixture model and an RGB clustering is provided to automatically divide an object domain of an object material on an input image without a direct handling by a user. CONSTITUTION: A first sub image generator leads a computer equipment to calculate normal distributions of pixels of each input image, and to produce a first sub image generator (S1200). A second sub image generator leads the computer equipment to calculate color mean values of each candidate area, to calculate Euclidean distance between the each pixel and the each color mean value, and to produce a second sub image (S1300). An object divider leads the computer equipment to produce a result image comprising the object division area comprising the pixels which are positioned on an overlapped spot among each pixel of the first and second object candidate area (S1400). [Reference numerals] (S1100) Output image format is converted to RGB color format; (S1200) First sub image generator leads a computer equipment to calculate normal distributions of pixels of each input image, and to produce a first sub image generator; (S1300) Second sub image generator leads the computer equipment to calculate color mean values of each candidate area, to calculate Euclidean distance between the each pixel and the each color mean value, and to produce a second sub image; (S1400) Object divider leads the computer equipment to produce a result image comprising the object division area comprising the pixels which are positioned on an overlapped spot among each pixel of the first and second object candidate area; (S1500) Result images are converted into a divided binary area, a largest binary area is set as an object area, other areas are set as noises and removed; (S1600) Pixels matched with each pixel coordiate of an object area are created as an object block
Abstract translation: 目的：提供使用高斯混合模型和RGB聚类的对象分割方法，用于在用户直接处理的情况下，自动划分输入图像上的对象材料的对象域。 构成：第一子图像生成器引导计算机设备计算每个输入图像的像素的正态分布，并产生第一子图像生成器（S1200）。 第二子图像生成器引导计算机设备计算每个候选区域的颜色平均值，以计算每个像素与每个颜色平均值之间的欧几里德距离，并产生第二子图像（S1300）。 对象分割器引导计算机设备产生包括包括位于第一和第二对象候选区域的每个像素之间的重叠点上的像素的对象分割区域的结果图像（S1400）。 （附图标记）（S1100）输出图像格式被转换为RGB颜色格式; （S1200）第一子图像生成器引导计算机设备来计算每个输入图像的像素的正态分布，并产生第一子图像生成器; （S1300）第二子图像生成器引导计算机设备计算每个候选区域的颜色平均值，计算每个像素之间的欧几里德距离和每个颜色平均值，并产生第二子图像; （S1400）对象分割器引导计算机设备产生包括对象分割区域的结果图像，该对象分割区域包括位于第一和第二对象候选区域的每个像素之间的重叠点上的像素; （S1500）将结果图像转换为分割二进制区域，将最大二进制区域设置为对象区域，其他区域设置为噪声并移除; （S1600）创建与对象区域的每个像素协调匹配的像素作为对象块
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