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公开(公告)号：KR101473428B1
公开(公告)日：2015-01-16
申请号：KR1020120072407
申请日：2012-07-03
Applicant: 한화테크윈 주식회사 , 고려대학교 산학협력단
Abstract: 영상 정합 방법이 개시된다. 이 방법은 단계들 (a) 내지 (e)를 포함한다. 단계 (a)에서는, 설정 영상 특징을 갖는 제1 영상의 특징 화소들이 추출된다. 단계 (b)에서는, 상기 설정 영상 특징을 갖는 제2 영상의 특징 화소들이 추출된다. 단계 (c)에서는, 제1 영상의 각각의 특징 화소를 중심으로 하는 제1 영상의 특징 영역들과, 제2 영상의 각각의 특징 화소를 중심으로 하는 제2 영상의 특징 영역들에 대하여, 정규 상호 정보와 기울기 방향 정보에 따라 유사성 척도의 값들이 각각 구해진다. 단계 (d)에서는, 유사성 척도의 값이 가장 큰 제1 영상과 제2 영상의 특징 영역 쌍이 최종적 대응-영역 쌍으로서 설정되고, 최종적 대응-영역 쌍의 어느 한 화소 쌍이 최종적 대응-화소 쌍으로서 설정된다. 단계 (e)에서는, 최종적 대응-화소 쌍의 좌표들이 일치되도록 제2 영상의 화소 좌표들이 변환된다.
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公开(公告)号：KR1020140080744A
公开(公告)日：2014-07-01
申请号：KR1020120146621
申请日：2012-12-14
Applicant: 한화테크윈 주식회사 , 고려대학교 산학협력단
CPC classification number: H04N5/33 , H04N5/2258 , H04N5/2351 , H04N5/243 , H04N5/265 , H04N5/332
Abstract: The present invention relates to an image fusion device and a method thereof and, more particularly, to an image fusion device and a method thereof for fusing infrared rays images and visible images by solving an error of infrared rays images photographed by an infrared (IR) camera and an error of visible images photographed by a visible camera. The image fusion method comprises the steps of: adjusting a first image of an object to be photographed as a visible image produced by the visible camera and a second image of the object as an infrared rays image produced by the IR camera; converting the brightness of the second image adjusted based on the brightness of the adjusted first image; and fusing the brightness of the converted second image by the adjusted first image.
Abstract translation: 图像融合装置及其方法技术领域本发明涉及图像融合装置及其方法，更具体地涉及一种通过解决由红外线（IR）拍摄的红外线图像的误差来对红外线图像和可见图像进行融合的图像融合装置及其方法， 相机和由可见相机拍摄的可见图像的错误。 所述图像融合方法包括以下步骤：将由所述可见照相机产生的可见图像和所述对象的第二图像作为红外线照相机产生的红外线图像调整为要拍摄的物体的第一图像; 转换基于所调整的第一图像的亮度而调整的第二图像的亮度; 以及通过所述经调整的第一图像将所转换的第二图像的亮度融合。
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Patent Agency Ranking
公开(公告)号：KR1020140015892A
公开(公告)日：2014-02-07
申请号：KR1020120081969
申请日：2012-07-26
Applicant: 한화테크윈 주식회사 , 고려대학교 산학협력단
CPC classification number: G06T7/35 , G06K9/46 , G06K9/6284
Abstract: The present invention relates to an image matching apparatus and a method thereof and more specifically, to an image matching apparatus and a method thereof capable of determining the success or failure of an image matching. The image matching method includes the following steps of: extracting a feature point of each of first and second images respectively photographed by a first camera and a second camera; performing a matching between the first and second images by using feature point information; estimating a transformation matrix which includes rotation information, parallel movement information, and size transformation information in the corresponding relation of a matching between a feature point of the first image and a feature point of the second image; calculating a variance of the transformation matrix; and determining the success or failure of the matching result of the first and second images depending on a variance calculation result. [Reference numerals] (AA) Start; (BB) End; (S10) Extract each feature point of a first image photographed by a first camera and a second image photographed by a second camera about a same object; (S20) Perform a matching between the first and second images by using feature point information; (S30) Estimate a transformation matrix which is a corresponding relation between the feature point of a first image and the feature point of the second image; (S40) Calculate the variance of the transformation matrix; (S50) Determine the success or failure of the matching result of the first and second images depending on the variance calculation result
Abstract translation: 图像匹配装置及其方法技术领域本发明涉及图像匹配装置及其方法，更具体地说，涉及能够确定图像匹配成功或失败的图像匹配装置及其方法。 图像匹配方法包括以下步骤：提取由第一相机和第二相机分别拍摄的第一和第二图像中的每一个的特征点; 通过使用特征点信息来执行第一和第二图像之间的匹配; 估计包括第一图像的特征点和第二图像的特征点之间的匹配的对应关系中的旋转信息，并行移动信息和大小变换信息的变换矩阵; 计算变换矩阵的方差; 以及根据方差计算结果确定第一和第二图像的匹配结果的成功或失败。 （附图标记）（AA）开始; （BB）结束; （S10）提取由第一相机拍摄的第一图像的每个特征点和由第二相机拍摄的关于相同对象的第二图像; （S20）通过使用特征点信息来执行第一和第二图像之间的匹配; （S30）估计作为第一图像的特征点与第二图像的特征点之间的对应关系的变换矩阵; （S40）计算变换矩阵的方差; （S50）根据方差计算结果确定第一和第二图像的匹配结果的成败
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公开(公告)号：KR101858646B1
公开(公告)日：2018-05-17
申请号：KR1020120146621
申请日：2012-12-14
Applicant: 한화에어로스페이스 주식회사 , 고려대학교 산학협력단
CPC classification number: H04N5/33 , H04N5/2258 , H04N5/2351 , H04N5/243 , H04N5/265 , H04N5/332
Abstract: 본발명은영상융합장치및 방법에관한것으로, 보다상세하게는가시(visible) 카메라로촬영된가시영상의단점및 적외선(infrared, IR) 카메라로촬영된적외선영상의단점을해결하여가시영상및 적외선영상을융합하는영상융합장치및 방법에관한것이다. 영상융합방법은동일한피사체에대한가시카메라에의해생성된가시영상으로서의제1 영상및 적외선카메라에의해생성된적외선영상으로서의제2 영상을정합하는단계, 정합된제1 영상의밝기를기준으로정합된제2 영상의밝기를변환시키는단계및 정합된제1 영상및 밝기가변환된제2 영상을융합하는단계를포함한다.
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公开(公告)号：KR102237029B1
公开(公告)日：2021-04-07
申请号：KR1020190038766
申请日：2019-04-03
Applicant: 고려대학교 산학협력단
Abstract: 본발명에따른이산화탄소광전환반응기는밀폐된내부공간이마련되고, 상기내부공간에광촉매물질이구비되어광전환반응으로이산화탄소로부터반응가스및 액화유체가생성되는본체부; 이산화탄소가이동하는통로를제공하는가스주입부; 수증기가이동하는통로를제공하는증기주입부; 상기생성된반응가스가배출되는가스배출부; 상기생성된액화유체가배출되는액체배출부; 및상기내부공간을기 결정된방향으로가로질러배치되는적어도하나의장형구조물을포함한다.
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公开(公告)号：KR1020160056729A
公开(公告)日：2016-05-20
申请号：KR1020140157408
申请日：2014-11-12
Applicant: 고려대학교 산학협력단
Abstract: 본발명의일 실시예에따른극저조도영상의화질개선방법은화질개선장치의시간잡음제거부에서, 입력영상인극저조도동영상의움직임영역과비움직임영역에따라현재프레임및 이전프레임각각에대한비중을달리하여시간적잡음을제거함으로써제1 중간영상을생성하는단계; 및상기화질개선장치의대조비개선부에서, 상기제1 중간영상의대조비를개선하여제2 중간영상을생성하는단계를포함한다.
Abstract translation: 根据本发明的实施例，极低照度图像的图像质量提高装置包括以下步骤：通过使当前帧的部分和前一帧根据运动区域和非运动区域不同而消除时间噪声 - 极低照度运动图像的运动区域，其是用于生成第一中间图像的输入图像; 以及提高图像质量改善装置的对比度改善单元中的第一中间图像的对比度，以生成第二中间图像。
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公开(公告)号：KR1020140004942A
公开(公告)日：2014-01-14
申请号：KR1020120072407
申请日：2012-07-03
Applicant: 한화테크윈 주식회사 , 고려대학교 산학협력단
CPC classification number: G06T7/33 , G06K9/46 , G06K9/6215
Abstract: An image matching method is disclosed. The image matching method comprises (a) to (e). In a step (a), feature pixels having a defined image feature are extracted from a first image. In a step (b), feature pixels having a defined feature are extracted from a second image. In a step (c), similarity measure values for feature areas of the first image having each first image feature pixel as a center and feature areas of the second image having each second image feature pixel as a center are obtained according to regular mutual information and gradient direction information. In a step (d), first and second image feature areas having the largest similarity measure value are set as a final matching-area pair and one pixel pair among pixel pairs in the final matching-area pair is set as a final matching-pixel pair. In a step (e), pixel coordinates of the second image are converted in order to match coordinates of the final matching-pixel pair. [Reference numerals] (a) Extract feature pixels of a first image having a defined image feature; (AA) Start; (b) Extract feature pixels of a second image having a defined image feature; (BB) End; (c) Obtain each similarity measure value for feature areas of the first image having each first image feature pixel as a center and feature areas of the second image having each second image feature pixel as a center according to regular mutual information and gradient direction information; (d) Set a pair of first and second image feature area having the largest similarity measure value as a final matching-area pair and set central pixels of the final matching-area pair as a final matching-pixel pair; (e) Convert pixel coordinates of the second image in order to match coordinates of the final matching-pixel pair
Abstract translation: 公开了一种图像匹配方法。 图像匹配方法包括（a）至（e）。 在步骤（a）中，从第一图像提取具有定义的图像特征的特征像素。 在步骤（b）中，从第二图像提取具有定义特征的特征像素。 在步骤（c）中，根据规则的相互信息获得具有以每个第一图像特征像素为中心的第一图像的特征区域的相似性度量值和具有每个第二图像特征像素为中心的第二图像的特征区域， 梯度方向信息。 在步骤（d）中，将具有最大相似性度量值的第一和第二图像特征区域设置为最终匹配区域对，并将最终匹配区域对中的像素对中的一个像素对设置为最终匹配像素 对。 在步骤（e）中，为了匹配最终匹配像素对的坐标，转换第二图像的像素坐标。 （附图标记）（a）提取具有定义的图像特征的第一图像的特征像素; （AA）开始; （b）提取具有定义的图像特征的第二图像的特征像素; （BB）结束; （c）根据规则的相互信息和梯度方向信息，获得具有每个第一图像特征像素的第一图像的特征区域的每个相似度测量值作为中心，并且将具有每个第二图像特征像素的第二图像的特征区域作为中心; （d）将具有最大相似性度量值的一对第一和第二图像特征区域设置为最终匹配区域对，并将最终匹配区域对的中心像素设置为最终匹配像素对; （e）转换第二图像的像素坐标，以匹配最终匹配像素对的坐标
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