Result and Discussion
作者： Yan Chai Hum
DOI: 10.1007/978-981-4451-66-6_4
关键词: Texture (geology) 、 Anisotropic diffusion 、 Sharpening 、 Edge (geometry) 、 Smoothing 、 Computer vision 、 Artificial intelligence 、 Segmentation 、 Computer science 、 Disturbance (geology)
摘要: In this chapter, the functionality of proposed MBOBHE and modified anisotropic diffusion will be justified. Both techniques create a suitable environment for subsequent segmentation modules by reducing disturbance uneven illumination, sharpening edge smoothing texture; at same time, is capable enhancing features ossification sites to improve performance computerized BAA. After that, an analytical comparison AAM framework with performed.
springer.com
core.ac.uk 
sci-hub.st 参考文章(11)
Mark Polak, Hong Zhang, Minghong Pi, Short communication: An evaluation metric for image segmentation of multiple objects Image and Vision Computing. ,vol. 27, pp. 1223- 1227 ,(2009) , 10.1016/J.IMAVIS.2008.09.008
Y.J. Zhang, A survey on evaluation methods for image segmentation Pattern Recognition. ,vol. 29, pp. 1335- 1346 ,(1996) , 10.1016/0031-3203(95)00169-7
Karel C. Strasters, Jan J. Gerbrands, Three-dimensional image segmentation using a split, merge and group approach Pattern Recognition Letters. ,vol. 12, pp. 307- 325 ,(1991) , 10.1016/0167-8655(91)90414-H
H.H Thodberg, A Rosholm, Application of the Active Shape Model in a commercial medical device for bone densitometry Image and Vision Computing. ,vol. 21, pp. 1155- 1161 ,(2003) , 10.1016/J.IMAVIS.2003.09.002
W.K. Pratt, Generalized Wiener Filtering Computation Techniques IEEE Transactions on Computers. ,vol. C-21, pp. 636- 641 ,(1972) , 10.1109/T-C.1972.223567
Hui Zhang, Jason E. Fritts, Sally A. Goldman, Image segmentation evaluation: A survey of unsupervised methods Computer Vision and Image Understanding. ,vol. 110, pp. 260- 280 ,(2008) , 10.1016/J.CVIU.2007.08.003
Meindert Niemeijer, Bram van Ginneken, Casper A. Maas, Frederik J. A. Beek, Max A. Viergever, Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method Medical Imaging 2003: Image Processing. ,vol. 5032, pp. 1197- 1205 ,(2003) , 10.1117/12.480163
David Harwood, Muralidhara Subbarao, Hannu Hakalahti, Larry S Davis, A new class of edge-preserving smoothing filters Pattern Recognition Letters. ,vol. 6, pp. 155- 162 ,(1987) , 10.1016/0167-8655(87)90002-X
Ranjith Unnikrishnan, Caroline Pantofaru, Martial Hebert, Toward Objective Evaluation of Image Segmentation Algorithms IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 29, pp. 929- 944 ,(2007) , 10.1109/TPAMI.2007.1046
A. Fenster, B. Chiu, Evaluation of Segmentation algorithms for Medical Imaging international conference of the ieee engineering in medicine and biology society. ,vol. 2005, pp. 7186- 7189 ,(2005) , 10.1109/IEMBS.2005.1616166