Your search for: 'author:("Wang, Zhenghao")' has returned 2 results. (0.008s) Save search

Authors: Deng, Leilei | Wang, Zhenghao | Wang, Chuang | He, Yifan | Huang, Tao | Dong, Yue | Zhang, Xian

Article Type: Research Article

Abstract: Image segmentation technology is a basic technology for image processing and analysis. As a typical interactive color image segmentation algorithm, grabbing segmentation has high precision, interactive operation and better segmentation effect in processing complex background segmentation, and has broad prospects in the field of agriculture. In this paper, the image segmentation algorithm of maize smut, Maize Head Smut and maize rust, which are three main diseases and insect pests, is studied by taking the high-yield crop Maize in Northeast China as an example. The image background in the static image editing is replaced by an improved one-time cutting algorithm. Through …the adaptive combination of weights, the depth information and saliency information are combined into the grabbing color model. The improved image segmentation algorithm greatly improves the efficiency and accuracy of image segmentation, and achieves a good spot segmentation effect in the static image of corn pests and diseases, and has a high recognition. Do not rate. And it plays a predictive research effect in practical verification. Show more

Keywords: Threshold segmentation, graph segmentation, grab cut algorithm, saliency, maize diseases and pests

DOI: 10.3233/JIFS-179413

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 379-389, 2020

Authors: Lian, Jing | Wang, Zhenghao | Li, Linhui | Zhou, Yafu | Yin, Yuhang | Li, Lei

Article Type: Research Article

Abstract: Object detection and tracking are critical and challenging problems in vehicle environment perception systems, and have received broad attention in recent years. A novel detection and tracking algorithm taking both accuracy and real-time performance into account is proposed in this paper. First, we employ a fusion algorithm based on stereo vision and deep learning in object detection, which achieves high accuracy using two complementary algorithms. Then, a prediction-association algorithm which uses a Kalman filter and Hungarian assignment for multiple object tracking is employed for object tracking. In addition, a detection and tracking framework based on stereo vision improves the robustness …of environmental perception system. Experimental results demonstrate that the proposed algorithm has high accuracy and can meet the real-time performance requirement. Show more

Keywords: Environmental perception, stereo vision, deep network, multiple object tracking

DOI: 10.3233/JIFS-191917

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 1, pp. 975-986, 2020