Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
US |
2014-06-23 14:40 |
Tokyo |
Tokyo Metropolitan Univ. |
Approach for quantitative liver tissue characterization based on texture analysis considering slice resolution of ultrasonic image Hiroshi Isono, Shinnosuke Hirata, Hiroyuki Hachiya (Tokyo Inst. of Tech.) US2014-20 |
As the method for quantitative liver tissue characterization, we have been focusing on texture analysis by using co-occu... [more] |
US2014-20 pp.19-24 |
CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-06 14:45 |
Oita |
Beppu International Convention Center |
Multifractal computation based feature descriptor for texture classification Chamidu Atupelage, Hiroshi Nagahashi (TITECH) IMQ2013-44 IE2013-153 MVE2013-82 |
This paper describes a textural feature extraction based on multifractal computation. Multifractal is used to measure th... [more] |
IMQ2013-44 IE2013-153 MVE2013-82 pp.103-107 |
MI |
2014-01-27 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Investigation on Classification of Benign and Malignant Masses on Mammograms by Use of Modified Local Ternary Pattern Chisako Muramatsu, Min Zhang, Takeshi Hara (Gifu Univ), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2013-118 |
We have been investigating an image analysis method for assisting the differential diagnosis of breast masses on mammogr... [more] |
MI2013-118 pp.327-330 |
SP, EA, SIP |
2013-05-17 16:50 |
Okayama |
|
Blockwise Low-Rank Prior for Cartoon-Texture Image Decomposition Shunsuke Ono, Isao Yamada (Tokyo Inst. of Tech.) EA2013-28 SIP2013-28 SP2013-28 |
We develop a cartoon-texture decomposition model with a novel texture characterization for image analysis and restoratio... [more] |
EA2013-28 SIP2013-28 SP2013-28 pp.163-168 |
PRMU |
2012-10-04 16:50 |
Chiba |
|
Similarity estimation of clothing based on shape, color and texture Kyoko Sudo, Jun Shimamura, Yukinobu Taniguchi (NTT) PRMU2012-61 |
For the analysis of personal preferences in purchase process of clothes
and the estimation of the items for recommendat... [more] |
PRMU2012-61 pp.53-58 |
HIP, ITE-HI, ITE-CE |
2010-10-15 09:00 |
Miyagi |
RIEC |
Statistical Analysis of the Perception of Morphologically Synthesized Textures
-- Influences of Viewing Distance, Changing Order of Viewing Positions, Gender, and Prior Knowledge -- Liang Li, Akira Asano (Hiroshima Univ.), Chie Muraki Asano (Yasuda Women's Univ.), Katsunori Okajima (Yokohama National Univ.) HIP2010-52 |
In this paper, an analysis method of the effect of several factors
such as viewing distance in texture perception using... [more] |
HIP2010-52 pp.47-52 |
IPSJ-SLDM, SIP, IE, ICD [detail] |
2010-10-05 10:00 |
Chiba |
Makuhari Messe, International Conference Hall |
Statistical Analysis of Texture Perception using Morphological Model
-- Influences of Viewing Distance, Changing Order of Viewing Positions, Gender, and Prior Knowledge -- Liang Li, Akira Asano (Hiroshima Univ.), Chie Muraki Asano (Yasuda Women's Univ.), Katsunori Okajima (Yokohama National Univ.) SIP2010-53 ICD2010-67 IE2010-71 |
In this paper, an analysis method of the effect of several factors such as viewing distance in texture perception using ... [more] |
SIP2010-53 ICD2010-67 IE2010-71 pp.1-6 |
IPSJ-AVM, MoNA |
2010-07-15 13:50 |
Hokkaido |
Hokkaido Univ. |
Image Coding by Using Decomposition of Texture Image based on Structure/Texture Separation and an Analysis of Their Relationship Chihiro Suzuki, Takamichi Miyata, Yoshinori Sakai (Tokyo Inst. of Tech.) MoMuC2010-20 |
TV-regularization can be used to decompose any natural image into a structure image and a texture image.
We proposed a ... [more] |
MoMuC2010-20 pp.13-18 |
PRMU, HIP |
2010-06-25 11:10 |
Aomori |
|
Texture Analysis for Food Recognition Do Ngoc Khanh, Jun Ohya (Waseda Uni.), Pishva Davar (Ritsumeikan Asian Pacific Univ.) PRMU2010-50 HIP2010-39 |
This paper studies the effectiveness of texture analysis methods for classifying different food items having the same co... [more] |
PRMU2010-50 HIP2010-39 pp.69-74 |
EA, US (Joint) |
2010-01-26 13:00 |
Osaka |
|
Analysis of ultrasonic image of liver diseases using co-occurrence matrix. Yuki Tanaka, Yu Igarashi (Tokyo Inst. of Tech.), Tadashi Yamaguchi (Chiba Univ.), Hiroyuki Hachiya (Tokyo Inst. of Tech.) US2009-105 |
Since the clinical diagnosis depends on the skill of the doctor, quantitative diagnosis method using ultrasonic echo sig... [more] |
US2009-105 pp.99-104 |
SIP, IE, IPSJ-SLDM [detail] |
2009-10-16 10:40 |
Fukui |
Awara Onsen "Matsuya Sensen" |
Extraction of Smoke Region Based on Texture Features and its Time Series Properties Akihiro Nakamura, Hidenori Maruta, Fujio Kurokawa (Nagasaki Univ.) SIP2009-68 IE2009-93 |
To build and maintain safer infrastructure, early and certain fire detection is one of the important issue. Especially, ... [more] |
SIP2009-68 IE2009-93 pp.71-76 |
SIS, SIP, IPSJ-AVM [detail] |
2009-09-24 13:30 |
Hiroshima |
|
Analysis of the Effect of the Viewing Distance in Texture Perception using Morphological and Statistical Model Liang Li, Akira Asano (Hiroshima Univ.), Chie Muraki Asano (Yasuda Women's Univ.) SIP2009-45 SIS2009-20 |
An analysis method of the effect of the viewing distance in texture perception using morphological and statistical model... [more] |
SIP2009-45 SIS2009-20 pp.23-28 |
MI |
2009-01-20 17:35 |
Overseas |
National Taiwan University |
Speeded Up Feature Extraction for CT Image Based on Integral Image Technique Shao-Hu Peng, Hyun-Soo Kim, Deok-Hwan Kim (Inha Univ.) MI2008-130 |
As a classic texture feature for image classification, the SGLDM is widely employed in medical image analysis. However, ... [more] |
MI2008-130 pp.319-324 |
MI |
2009-01-21 09:50 |
Overseas |
National Taiwan University |
[Poster Presentation]
Computer-Assisted Texture Analysis of DMSA Scintigraphy in Diagnosis of Pyelonephritis Duck-Joo Choi, Kyung Hoon Hwang, Minkyung Lee, Wonsick Choe (Gachon Univ. Gil Hospital) MI2008-168 |
DMSA renal scan has been used to evaluate renal parenchymal lesions such as pyelonephritis. However, it is frequently di... [more] |
MI2008-168 pp.493-494 |
PRMU, IE |
2008-03-11 09:50 |
Ishikawa |
|
() IE2007-302 PRMU2007-286 |
The image-based modeling and realistic visualization of complex materials such as fabrics is one of the main challenges ... [more] |
IE2007-302 PRMU2007-286 pp.259-266 |
PRMU |
2007-12-13 11:00 |
Hyogo |
Kobe Univ. |
Graph Cuts Using Local Texture Feature Quantity of the Wavelet Coefficient for Image Segmentation Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2007-138 |
This paper proposes an approach to image segmentation using Graph Cuts based on local texturefeatures of wavelet coeffic... [more] |
PRMU2007-138 pp.19-24 |
PRMU |
2007-03-16 15:15 |
Okayama |
|
Performance evaluation of correlation kernels to texture classification Yo Horikawa (Kagawa Univ.) |
Correlation kernels, which are the inner products of the autocorrelation functions of original data, have been used in k... [more] |
PRMU2006-276 pp.125-130 |
MI |
2007-01-27 11:25 |
Overseas |
the Cheju National Univ. |
Automated Determination of the Liver Boundary in CT Data Based on Anatomical knowledge and Level Set Method Amir .H. Foruzan, Reza A. Zoroofi (Univ. of Tehran), Yoshinobu Sato, Masatoshi Hori, Takamichi Murakami, Hironobu Nakamura, Shinichi Tamurab (Osaka Univ.) |
Quantitative analysis of the liver CT images is clinically important in corresponding diagnosis, treatment and surgical ... [more] |
MI2006-179 pp.83-86 |
MI |
2007-01-27 11:40 |
Overseas |
the Cheju National Univ. |
Classification of Cirrhotic Liver in MRI Images Using Texture Features Gobert Lee, Xuejun Zhang, Masayuki Kanematsu, Xiangrong Zhou, Takeshi Hara, Hiroki Kato, Hiroshi Kondo, Hiroshi Fujita, Hiroaki Hoshi (Gifu Univ.) |
Cirrhosis of the liver is characterized by the presence of widespread nodules and fibrosis in the liver. The fibrosis an... [more] |
MI2006-180 pp.87-88 |
NLP |
2007-01-18 09:55 |
Kagawa |
|
Texture classification with kernel methods with multiple correlation kernels and Kansei information Yo Horikawa (Kagawa Univ.), Yujiro Ohnishi (Ryobi Systems) |
The authors consider combining correlations of different orders in kernel principal component analysis (kPCA) kernel can... [more] |
NLP2006-127 pp.5-10 |