Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Isao Horiba"'
Publikováno v:
Journal of Robotics and Mechatronics. 17:269-276
This paper discusses the detection of wet-road conditions based on images captured by cameras on the rearview mirror of a vehicle. Based on properties associated with water on a road, detection was stable for daytime and nighttime conditions. Water i
Extraction of Left Ventricular Contours From Left Ventriculograms by Means of a Neural Edge Detector
Publikováno v:
IEEE Transactions on Medical Imaging. 23:330-339
We propose a method for extracting the left ventricular (LV) contours from left ventriculograms by means of a neural edge detector (NED) in order to extract the contours which accord with those traced by a cardiologist. The NED is a supervised edge d
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 124:753-760
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 25(No. 12):1582-1596
We propose a new edge enhancer based on a modified multilayer neural network, which is called a neural edge enhancer (NEE), for enhancing the desired edges clearly from noisy images. The NEE is a supervised edge enhancer: Through training with a set
Publikováno v:
JSAE Review. 24:183-188
This paper relates to the study of the road surface condition detection technique based on the image taken by a TV camera attached to the rearview mirror of a vehicle. We first examine a technique to detect the water on the road surface. The extracti
Publikováno v:
Systems and Computers in Japan. 34:55-69
In this paper, a supervised edge detector based on a multilayer neural network, which is called a neural edge detector (NED), is proposed for detecting edges which coincide with edges traced by a human operator (e.g., a medical doctor). The NED is tr
Publikováno v:
Computer Vision and Image Understanding. 89:1-23
This paper presents a fast algorithm for labeling connected components in binary images based on sequential local operations. A one-dimensional table, which memorizes label equivalences, is used for uniting equivalent labels successively during the o
Publikováno v:
IEEE Transactions on Signal Processing. 50(No. 7):1787-1799
In this paper, efficient filters are presented that approximate neural filters (NFs) that are trained to remove quantum noise from images. A novel analysis method is proposed for making clear the characteristics of the trained NF. In the proposed ana
Publikováno v:
Neural Processing Letters. 13:43-53
This paper describes an approach to synthesizing desired filters using a multilayer neural network (NN). In order to acquire the right function of the object filter, a simple method for reducing the structures of both the input and the hidden layers
Autor:
Atsushi Teramoto, Isao Horiba
Publikováno v:
Journal of Japan Institute of Electronics Packaging. 4:68-71
With the high requirement of high-density packaging, CSP have been spread widely. To inspect the solder joint in CSP, an X-ray image has been used. However, an X-ray image contains not only solder joint but also capper leads. Therefore, it is very di