专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20180365833A1 SYSTEM AND METHOD FOR AUTOMATED DETECTION AND MEASUREMENT OF CORNEAL HAZE AND DEMARCATION LINE IN OPTICAL COHERENCE TOMOGRAPHY IMAGES 审中-公开
公开(公告)号：US20180365833A1
公开(公告)日：2018-12-20
申请号：US16009937
申请日：2018-06-15
申请人： American University of Beirut
发明人： Ahmad R. Dhaini , Sarah Maria El Oud , Shady Awwad , Maamoun Abdul Fattah , Manal Chokr
IPC分类号： G06T7/00 , G06K9/00 , G06T7/11 , G06F3/0481
CPC分类号： G06T7/0014 , G06F3/0481 , G06K9/0061 , G06K9/44 , G06K9/6222 , G06K2209/05 , G06T7/11 , G06T2207/10101 , G06T2207/30041
摘要： A system and method for Automated Detection and Measurement of Corneal Haze and the Demarcation Line is disclosed. Data extraction module performs visual data and statistics generation to detect corneal haze and calculate corneal attributes in images.

2. 发明授权

US10034645B1 Systems and methods for detecting complex networks in MRI image data 有权
公开(公告)号：US10034645B1
公开(公告)日：2018-07-31
申请号：US15820338
申请日：2017-11-21
申请人： The Board of Trustees of the Leland Stanford Junior University
发明人： Leanne Maree Williams
IPC分类号： A61B6/00 , G06K9/00 , G06T3/00 , G06T7/00 , A61B5/00 , A61B5/16
CPC分类号： A61B6/501 , A61B5/055 , A61B5/165 , A61B5/168 , A61B5/4064 , A61B5/4088 , A61B5/7267 , A61B2576/026 , G06K9/0014 , G06K9/34 , G06K9/44 , G06T3/0093 , G06T7/0012 , G06T7/0014 , G06T7/0016 , G06T2207/10076 , G06T2207/10088 , G06T2207/10104 , G06T2207/20076 , G06T2207/20081 , G06T2207/30016
摘要： Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.

3. 发明申请

US20180107687A1 LEARNING DATA CREATION SUPPORTING METHOD 审中-公开
公开(公告)号：US20180107687A1
公开(公告)日：2018-04-19
申请号：US15713110
申请日：2017-09-22
申请人： Panasonic Intellectual Property Corporation of America
发明人： TORU TANIGAWA , YUKIE SHODA , TETSUJI FUCHIKAMI
IPC分类号： G06F17/30 , G06T1/00 , G06T1/60
CPC分类号： G06F16/58 , G06F16/51 , G06K9/00362 , G06K9/00771 , G06K9/44 , G06N20/00 , G06T1/0007 , G06T1/60
摘要： A method includes: recognizing, based on a taken image obtained by taking an image of an object, a description of an attribute of the object and the type of act of the object; storing the recognized description of the attribute of the object and type of act of the object in a database; judging whether the frequency of occurrence of an act of the recognized type is less than a previously set threshold value by referring to the database; and outputting, if a judgment is made that the frequency of occurrence is less than the threshold value, an instruction to create, as learning data, computer graphics (CG) data describing a state in which the object having the attribute whose description is different from the recognized description of the attribute is doing the act of the recognized type based on the taken image.

4. 发明授权

US09928439B2 Facilitating text identification and editing in images 有权
公开(公告)号：US09928439B2
公开(公告)日：2018-03-27
申请号：US15408268
申请日：2017-01-17
申请人： Adobe Systems Incorporated
发明人： Srinivasa Madhava Phaneendra Angara , Ajay Bedi
IPC分类号： G06K9/46 , G06K9/62
CPC分类号： G06K9/46 , G06K9/00355 , G06K9/2018 , G06K9/3275 , G06K9/44 , G06K9/6215 , G06K9/6247 , G06K9/6267 , G06K9/6828 , G06K2009/4666 , G06K2209/01 , G06T3/00 , G06T5/006 , G06T11/60
摘要： Facilitating text identification and editing in images in which in one or more embodiments, a user selection of a location in an area of text in an image is received. Given the location, a region of interest that includes text (including the location of the user selection) in the image is determined. Distortion resulting from a surface in the image on which the text is situated being at some angle other than parallel to the image capture plane is also corrected. One or more fonts and font sizes of the text in the region of interest are also detected. Various actions can be taken on the text in the region of interest (e.g., editing the text and/or identifying the text).

5. 发明申请

US20180005372A1 METHODS AND SYSTEMS FOR DETECTING A CENTERLINE OF A VESSEL 审中-公开
公开(公告)号：US20180005372A1
公开(公告)日：2018-01-04
申请号：US15638423
申请日：2017-06-30
申请人： SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
发明人： Xiaodong WANG , Yufei MAO
IPC分类号： G06T7/00 , G06T7/66 , G06K9/34 , G06K9/62
CPC分类号： G06T7/0012 , G06K9/34 , G06K9/44 , G06K9/6201 , G06K2209/05 , G06T7/11 , G06T7/136 , G06T7/66 , G06T2207/20041 , G06T2207/20156 , G06T2207/20161 , G06T2207/30101 , G06T2207/30172
摘要： This application disclosures a method and system for detecting a centerline of a vessel. The method may include obtaining image data, wherein the image data may include vessel data; selecting two endpoints of the vessel based on the vessel data; transforming the image data to generate a transformed image based on at least one image transformation function; and determining a path of the centerline of the vessel connecting the first endpoint of the vessel and the second endpoint of the vessel to obtain the centerline of the vessel based on the transformed image. The two endpoints of the vessel may include a first endpoint of the vessel and a second endpoint of the vessel.

6. 发明申请

US20170300788A1 METHOD FOR OBJECT DETECTION IN DIGITAL IMAGE AND VIDEO USING SPIKING NEURAL NETWORKS 审中-公开
公开(公告)号：US20170300788A1
公开(公告)日：2017-10-19
申请号：US15269777
申请日：2016-09-19
申请人： HRL Laboratories, LLC
发明人： Yongqiang Cao , Qin Jiang , Yang Chen , Deepak Khosla
IPC分类号： G06K9/66 , G06K9/62 , G06K9/46 , G06N3/04 , G06K9/42
CPC分类号： G06N3/04 , G06K9/42 , G06K9/44 , G06K9/4652 , G06K9/4671 , G06K9/6267
摘要： Described is a system for object detection in images or videos using spiking neural networks. An intensity saliency map is generated from an intensity of an input image having color components using a spiking neural network. Additionally, a color saliency map is generated from a plurality of colors in the input image using a spiking neural network. An object detection model is generated by combining the intensity saliency map and multiple color saliency maps. The object detection model is used to detect multiple objects of interest in the input image.

7. 发明授权

US09792692B2 Depth-based image element removal 有权
公开(公告)号：US09792692B2
公开(公告)日：2017-10-17
申请号：US14725486
申请日：2015-05-29
申请人： NCR Corporation
发明人： Christopher John Costello
IPC分类号： G06K9/00 , G06T7/00 , G06K9/34 , G06K9/44 , G06K9/46 , G06K9/62 , G06Q20/20 , G06T7/11 , G06T7/13 , G06T7/194
CPC分类号： G06T7/10 , G06K9/00375 , G06K9/34 , G06K9/44 , G06K9/4652 , G06K9/6202 , G06Q20/208 , G06T7/11 , G06T7/13 , G06T7/194 , G06T2200/04 , G06T2207/10028 , G06T2207/20044
摘要： Various embodiments herein each include at least one of systems, methods, and software to enable depth-based image element removal. Some embodiments may be implemented in a store checkout context, while other embodiments may be implemented in other contexts such as at price-checking kiosks or devices that may be deployed within a store or other retail establishment, a library at a checkout terminal, and the like. Some embodiments include removing elements of images based at least in part on depth data.

8. 发明申请

US20170169557A1 PROCESS AND DEVICE FOR DIRECT MEASUREMENTS OF PLANT STOMATA 审中-公开
公开(公告)号：US20170169557A1
公开(公告)日：2017-06-15
申请号：US14968954
申请日：2015-12-15
申请人： United Arab Emirates University
发明人： Falah AWWAD , Synan ABUQAMAR , Taoufik KSIKSI , Saleh THAKER , Ayman Abdul Rahman RABEE
IPC分类号： G06T7/00 , G06K9/46 , G06K9/62 , G06K9/52 , G06T7/60 , G06T5/00
CPC分类号： G06T7/0004 , G06K9/34 , G06K9/44 , G06K9/4604 , G06K9/52 , G06K9/6215 , G06T7/12 , G06T7/155 , G06T7/60 , G06T2207/10056
摘要： There is provided a computer-implemented method for detecting and measuring stomata present in the epidermis of a plant leaf, the method comprising obtaining an image of the epidermis of a plant leaf; detecting valid stomata candidates within the image; determining physical dimensions of the valid stomata candidates; and determining vital functions of the plant based on the physical dimensions of the valid stomata candidates. There is also provided a computing device capable of measuring leaf stomata.

9. 发明申请

US20170169293A1 IMPROVED METHOD FOR FINGERPRINT MATCHING AND CAMERA IDENTIFICATION, DEVICE AND SYSTEM 审中-公开
公开(公告)号：US20170169293A1
公开(公告)日：2017-06-15
申请号：US15325698
申请日：2015-07-16
申请人： POLITECNICO DI TORINO
发明人： Diego Valsesia , Giulio Coluccia , Tiziano Bianchi , Enrico Magli
IPC分类号： G06K9/00 , G06K9/44 , G06F17/30 , G06K9/62
CPC分类号： G06K9/00577 , G06F17/30256 , G06K9/44 , G06K9/6202 , G06K2009/00583
摘要： A method for fingerprint matching and camera identification includes reading, through a device, a camera fingerprint extracted from a picture taken by a camera, and calculating a compressed version of the camera fingerprint through a random projections technique.

10. 发明申请

US20170011272A1 REALTIME OBJECT MEASUREMENT 有权
标题翻译：实时对象测量
公开(公告)号：US20170011272A1
公开(公告)日：2017-01-12
申请号：US14794407
申请日：2015-07-08
申请人： Sage Software, Inc.
发明人： Scott E. Barton
IPC分类号： G06K9/18 , G06T7/00 , G06K9/00
CPC分类号： G06K9/18 , G06K9/00442 , G06K9/342 , G06K9/44 , G06K2209/01 , G06T7/11
摘要： A system and process of nearsighted (myopia) camera object detection involves detecting the objects through edge detection and outlining or thickening them with a heavy border. Thickening may include making the object bold in the case of text characters. The bold characters are then much more apparent and heaver weighted than the background. Thresholding operations are then applied (usually multiple times) to the grayscale image to remove all but the darkest foreground objects in the background resulting in a nearsighted (myopic) image. Additional processes may be applied to the nearsighted image, such as morphological closing, contour tracing and bounding of the objects or characters. The bound objects or characters can then be averaged to provide repositioning feedback for the camera user. Processed images can then be captured and subjected to OCR to extract relevant information from the image.
摘要翻译：近视（近视）相机对象检测的系统和过程涉及通过边缘检测来检测物体，并以较重的边界勾勒或加厚它们。增厚可能包括在文本字符的情况下使对象加粗。那么大胆的角色比背景更加明显，而且比较重。然后将阈值操作（通常多次）应用于灰度图像，以去除背景中除了最近的最近的前景物体之外的所有物体，导致近视（近视）图像。附加过程可以应用于近视图像，例如形态闭合，轮廓跟踪和对象或角色的边界。然后可以平均所绑定的对象或字符，以为照相机用户提供重新定位反馈。然后可以捕获处理后的图像并进行OCR以从图像中提取相关信息。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式