Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
9144 | 1184 | 23.1 | 45% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | EDGE DETECTION | authKW | 1521471 | 24% | 21% | 286 |
2 | COLOR EDGE DETECTION | authKW | 149198 | 1% | 64% | 9 |
3 | EDGE LOCALIZATION | authKW | 97077 | 1% | 47% | 8 |
4 | EDGE LINKING | authKW | 88912 | 1% | 34% | 10 |
5 | 2ND DIRECTIONAL DERIVATIVE | authKW | 77365 | 0% | 100% | 3 |
6 | AUTHENTIC EDGES | authKW | 77365 | 0% | 100% | 3 |
7 | NONMAXIMA SUPPRESSION | authKW | 77365 | 0% | 100% | 3 |
8 | SCALE MULTIPLICATION | authKW | 77365 | 0% | 100% | 3 |
9 | CANNY EDGE DETECTOR | authKW | 74590 | 1% | 32% | 9 |
10 | DPTO AUTOMAT COMPUTAC | address | 68766 | 0% | 67% | 4 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 44500 | 50% | 0% | 597 |
2 | Engineering, Electrical & Electronic | 6263 | 43% | 0% | 509 |
3 | Imaging Science & Photographic Technology | 6232 | 10% | 0% | 123 |
4 | Computer Science, Theory & Methods | 2792 | 14% | 0% | 164 |
5 | Computer Science, Software Engineering | 2493 | 11% | 0% | 130 |
6 | Optics | 1133 | 14% | 0% | 166 |
7 | Computer Science, Cybernetics | 1121 | 3% | 0% | 35 |
8 | Computer Science, Information Systems | 290 | 5% | 0% | 55 |
9 | Remote Sensing | 88 | 1% | 0% | 16 |
10 | Robotics | 65 | 1% | 0% | 9 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | DPTO AUTOMAT COMPUTAC | 68766 | 0% | 67% | 4 |
2 | DPTO AUTOMAT COMP | 51577 | 0% | 100% | 2 |
3 | DPTO ELECT COMPUTAC | 38680 | 0% | 50% | 3 |
4 | AUSTRALIAN MED ENGN | 34383 | 0% | 67% | 2 |
5 | AAAI | 25788 | 0% | 100% | 1 |
6 | ADV IMAGING PLICAT | 25788 | 0% | 100% | 1 |
7 | AGE INFORMAT ENGN | 25788 | 0% | 100% | 1 |
8 | AGE PHYS INFORMAT ENGN | 25788 | 0% | 100% | 1 |
9 | ALSTOM ENERGY | 25788 | 0% | 100% | 1 |
10 | BEIJING MUNICIPLE MULTIMEDIA INTELLIGEN | 25788 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | COMPUTER VISION GRAPHICS AND IMAGE PROCESSING | 54933 | 3% | 6% | 38 |
2 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 44397 | 8% | 2% | 89 |
3 | PATTERN RECOGNITION | 41494 | 9% | 2% | 105 |
4 | CVGIP-IMAGE UNDERSTANDING | 27603 | 1% | 7% | 15 |
5 | COMPUTER GRAPHICS AND IMAGE PROCESSING | 21340 | 1% | 6% | 13 |
6 | IMAGE AND VISION COMPUTING | 19363 | 4% | 2% | 44 |
7 | PATTERN RECOGNITION LETTERS | 18824 | 5% | 1% | 65 |
8 | COMPUTER VISION AND IMAGE UNDERSTANDING | 16964 | 3% | 2% | 36 |
9 | CVGIP-GRAPHICAL MODELS AND IMAGE PROCESSING | 16577 | 1% | 6% | 11 |
10 | IEEE TRANSACTIONS ON IMAGE PROCESSING | 8629 | 4% | 1% | 43 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | EDGE DETECTION | 1521471 | 24% | 21% | 286 | Search EDGE+DETECTION | Search EDGE+DETECTION |
2 | COLOR EDGE DETECTION | 149198 | 1% | 64% | 9 | Search COLOR+EDGE+DETECTION | Search COLOR+EDGE+DETECTION |
3 | EDGE LOCALIZATION | 97077 | 1% | 47% | 8 | Search EDGE+LOCALIZATION | Search EDGE+LOCALIZATION |
4 | EDGE LINKING | 88912 | 1% | 34% | 10 | Search EDGE+LINKING | Search EDGE+LINKING |
5 | 2ND DIRECTIONAL DERIVATIVE | 77365 | 0% | 100% | 3 | Search 2ND+DIRECTIONAL+DERIVATIVE | Search 2ND+DIRECTIONAL+DERIVATIVE |
6 | AUTHENTIC EDGES | 77365 | 0% | 100% | 3 | Search AUTHENTIC+EDGES | Search AUTHENTIC+EDGES |
7 | NONMAXIMA SUPPRESSION | 77365 | 0% | 100% | 3 | Search NONMAXIMA+SUPPRESSION | Search NONMAXIMA+SUPPRESSION |
8 | SCALE MULTIPLICATION | 77365 | 0% | 100% | 3 | Search SCALE+MULTIPLICATION | Search SCALE+MULTIPLICATION |
9 | CANNY EDGE DETECTOR | 74590 | 1% | 32% | 9 | Search CANNY+EDGE+DETECTOR | Search CANNY+EDGE+DETECTOR |
10 | QUATERNION CONVOLUTION | 58022 | 0% | 75% | 3 | Search QUATERNION+CONVOLUTION | Search QUATERNION+CONVOLUTION |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | PAPARI, G , PETKOV, N , (2011) EDGE AND LINE ORIENTED CONTOUR DETECTION: STATE OF THE ART.IMAGE AND VISION COMPUTING. VOL. 29. ISSUE 2-3. P. 79 -103 | 71 | 30% | 110 |
2 | LOPEZ-MOLINA, C , DE BAETS, B , BUSTINCE, H , (2013) QUANTITATIVE ERROR MEASURES FOR EDGE DETECTION.PATTERN RECOGNITION. VOL. 46. ISSUE 4. P. 1125-1139 | 32 | 63% | 33 |
3 | HEATH, MD , SARKAR, S , SANOCKI, T , BOWYER, KW , (1997) A ROBUST VISUAL METHOD FOR ASSESSING THE RELATIVE PERFORMANCE OF EDGE-DETECTION ALGORITHMS.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. VOL. 19. ISSUE 12. P. 1338-1359 | 26 | 96% | 232 |
4 | DIAO, LH , YU, B , LI, H , (2007) A NEW EDGE DETECTOR BASED ON FRESNEL DIFFRACTION.PATTERN RECOGNITION LETTERS. VOL. 28. ISSUE 7. P. 859 -864 | 25 | 89% | 1 |
5 | HEATH, M , SARKAR, S , SANOCKI, T , BOWYER, K , (1998) COMPARISON OF EDGE DETECTORS - A METHODOLOGY AND INITIAL STUDY.COMPUTER VISION AND IMAGE UNDERSTANDING. VOL. 69. ISSUE 1. P. 38 -54 | 25 | 83% | 143 |
6 | LOPEZ-MOLINA, C , DE BAETS, B , BUSTINCE, H , (2014) A FRAMEWORK FOR EDGE DETECTION BASED ON RELIEF FUNCTIONS.INFORMATION SCIENCES. VOL. 278. ISSUE . P. 127 -140 | 24 | 63% | 4 |
7 | LOPEZ-MOLINA, C , DE BAETS, B , BUSTINCE, H , SANZ, J , BARRENECHEA, E , (2013) MULTISCALE EDGE DETECTION BASED ON GAUSSIAN SMOOTHING AND EDGE TRACKING.KNOWLEDGE-BASED SYSTEMS. VOL. 44. ISSUE . P. 101-111 | 28 | 49% | 24 |
8 | DEREGEH, F , NEZAMABADI-POUR, H , (2014) A NEW GRAVITATIONAL IMAGE EDGE DETECTION METHOD USING EDGE EXPLORER AGENTS.NATURAL COMPUTING. VOL. 13. ISSUE 1. P. 65 -78 | 19 | 79% | 1 |
9 | OZKAN, K , ISIK, S , (2015) A NOVEL MULTI-SCALE AND MULTI-EXPERT EDGE DETECTOR BASED ON COMMON VECTOR APPROACH.AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS. VOL. 69. ISSUE 9. P. 1272 -1281 | 18 | 78% | 0 |
10 | AKINLAR, C , TOPAL, C , (2012) EDPF: A REAL-TIME PARAMETER-FREE EDGE SEGMENT DETECTOR WITH A FALSE DETECTION CONTROL.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. VOL. 26. ISSUE 1. P. - | 23 | 64% | 5 |
Classes with closest relation at Level 1 |