中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	Chinese Character Font Classification in Calligraphy and Painting Works Based on Decision Fusion 会议论文 OAI收割 ELECTR NETWORK, 2022-11-17 作者: Zeng, Zimu; Zhang, Pengchang; Wang, Jia; Tang, Xingjia; Liu, Xuebin \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2023/07/11 font classification convolutional neural network local binary pattern histogram of oriented gradient decision fusion
	An Ultrahigh-Speed Object Detection Method With Projection-Based Position Compensation 期刊论文 OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 7, 页码: 4796-4806 作者: Li, Jianquan; Long, Xianlei; Xu, De; Gu, Qingyi; Ishii, Idaku \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2020/08/03 Field-programmable gate array (FPGA) hardware implementation histogram of oriented gradient (HOG) object detection pixel projection ultrahigh-speed vision
	An FPGA-Based Ultra-High-Speed Object Detection Algorithm with Multi-Frame Information Fusion 期刊论文 OAI收割 SENSORS, 2019, 卷号: 19, 期号: 17, 页码: 16 作者: Long, Xianlei; Hu, Shenhua; Hu, Yiming; Gu, Qingyi; Ishii, Idaku \| 收藏 \| 浏览/下载：81/0 \| 提交时间：2019/12/16 ultra-high-speed vision object detection field-programmable gate array histogram of oriented gradient multi-frame information fusion model
	Global and Local Oriented Edge Magnitude Patterns for Texture Classification 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2017, 卷号: 31, 期号: 3, 页码: 1-13 作者: Dong, Jun; Yuan, Xue; Xiong, Fanlun 收藏 \| 浏览/下载：25/0 \| 提交时间：2018/07/04 Texture Classification Local Binary Pattern Histogram Of Gradient Rotation Invariant
	A method for real-time implementation of HOG feature extraction 会议论文 OAI收割 4th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Advances in Infrared Imaging and Applications, Beijing, China, May 24-26, 2011 作者: Luo HB(罗海波); Yu XR(余新荣); Liu HM(刘红梅); Ding QH(丁庆海) 收藏 \| 浏览/下载：44/0 \| 提交时间：2012/06/06 histogram of oriented gradient (HOG) feature extraction real-time implementation parallel pipeline
	Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China Zhang M.; Ren J. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 The paper designs a driving circuit of high sensitive wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.
	实时人手检测、跟踪与手势识别技术研究学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2009 周代国收藏 \| 浏览/下载：130/0 \| 提交时间：2015/09/02 人机手势交互 Adaboost 方向梯度直方图条件概率密度传播隐马尔科夫模型 Gesture based Human Computer Interaction Adaboost Histogram of Orientation Gradient Condensation Hidden Markov Model
	Self-adaptive threshold canny operator in color image edge detection (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Luo T.; Zheng X.-F.; Ding T.-F. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 It needs to set the two thresholds of classical Canny Operator manually which confined this algorithm. A lot of research on adaptive thresholds choice method has been done to conquer this shortcoming. Based on the gradient histogram which is studied constantly in the past a method of gradient histogram difference diagram with adaptive image classification techniques is proposed in this paper. It automatically sets the two thresholds and avoids disconnected or false edges in detection. Experiments prove that the method is threshold-adaptive and the edge detection performs well in color image whose larger gradient amplitude pixels are mainly located in the edges between the target and background. 2009 IEEE.