Segmentation of dermatoscopic images by stabilized inverse diffusion equations

被引：0

作者：

Gao, J ^{[1
]}

Zhang, J ^{[1
]}

Fleming, MG ^{[1
]}

Pollak, I ^{[1
]}

Cognetta, AB ^{[1
]}

机构：

[1] Univ Wisconsin, Dept Elect Engn & Comp Sci, Madison, WI 53706 USA

来源：

1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3 | 1998年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas). These included 5 techniques previously used for segmentation of pigmented lesions, and several new techniques based on stabilized inverse diffusion equations (SIDE) and Markov random fields (MRF). Novel multiresolution implementations of the SIDE and MRF algorithms were created for this work Techniques based on the SIDE and MRF algorithms produced the most accurate segmentations.

引用

页码：823 / 827

页数：5

共 50 条

[1] Stabilized inverse diffusion equations and segmentation of vector-valued images.
Pollak, I
Krim, H
Willsky, AS
1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3, 1998, : 246 - 248
[2] Image segmentation and edge enhancement with stabilized inverse diffusion equations
Pollak, I
Willsky, AS
Krim, H
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (02) : 256 - 266
[3] Video segmentation using stabilized inverse diffusion
Mani, A
2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS, 2003, : 697 - 700
[4] Scale space analysis by stabilized inverse diffusion equations
Pollak, I
Willsky, AS
Krim, H
SCALE-SPACE THEORY IN COMPUTER VISION, 1997, 1252 : 200 - 211
[5] Feature extraction of dermatoscopic images by iterative segmentation algorithm
Rajab, Maher I.
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2008, 16 (01) : 33 - 42
[6] Feature extraction of dermatoscopic images by iterative segmentation algorithm
Computer Engineering Department, University of Umm Al-Qura, P.O. Box 5555, Mecca, Saudi Arabia
J X Ray Sci Technol, 2008, 1 (33-42):
[7] Intuitionistic robust clustering for segmentation of lesions in dermatoscopic images
Ramos-Palencia, Celia
Mujica-Vargas, Dante
Vianney-Kinani, Jean Marie
Luna-alvarez, Antonio
Castro-Sanchez, Noe -Alejandro
DYNA, 2024, 99 (01): : 63 - 70
[8] Detection and classification of dermatoscopic images using segmentation and transfer learning
Shrestha, Hewan
Jaganathan, Subash Chandra Bose
Dhasarathan, Chandramohan
Suriyan, Kannadhasan
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (15) : 23817 - 23831
[9] Detection and classification of dermatoscopic images using segmentation and transfer learning
Hewan Shrestha
Subash Chandra Bose Jaganathan
Chandramohan Dhasarathan
Kannadhasan Suriyan
Multimedia Tools and Applications, 2023, 82 : 23817 - 23831
[10] Image segmentation and restoration using inverse diffusion equations and mathematical morphology
Dong, NL
Jin, G
Chen, HB
Ma, JG
Qi, B
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES V, 2003, 4883 : 213 - 220

← 1 2 3 4 5 →