著者
Yasuhiro HARADA Shogo MURAMATSU Hitoshi KIYA
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
巻号頁・発行日
vol.E81-A, no.8, pp.1607-1615, 1998-08-25

The checkerboard effect is caused by the periodic time-variant property of multirate filters which consist of up-samplers and digital filters. Although the conditions for some one-dimensional (1D) multirate systems to avoid the checkerboard effect have been shown, the conditions for Multidimensional (MD) multirate systems have not been considered. In this paper, some theorems about the conditions for MD multirate filters without checkerboard effect are derived. In addition, we also consider MD multirate filter banks without checkerboard effect. Simulation examples show that the checkerboard effect can be avoided by using the proposed conditions.
著者
Mustafa M. Sami Masahisa Saito Shogo Muramatsu Toshihiko Mikami Kamal Al-Eryani Faleh A. Sawair Rasha Abu Eid Jun Cheng Hisakazu Kikuchi Takashi Saku
出版者
The Japanese Society of Oral Pathology
雑誌
Oral Medicine & Pathology (ISSN:13420984)
巻号頁・発行日
vol.14, no.3, pp.89-97, 2010 (Released:2010-03-30)
参考文献数
28
被引用文献数
4 4

Epithelial dysplasia and carcinoma in-situ (CIS) of the oral mucosa are two different borderline grades similar to each other, and it is difficult for pathologists to distinguish these two lesions on hematoxylin and eosin-stained sections only. To support objective differential diagnoses, we have developed a new computer-aided analysis system. The method was based on a comparison of the elevation levels in the drop shape between twin-pairs of neighboring rete ridges. The dissimilarity of the drop shape was defined by the roundness difference between a pair of rete ridge units. All the steps were performed using a graphical user interface. The similarity levels in epithelial dysplasia were higher than those in CIS, whose histopathological diagnoses were conventionally made by experienced pathologists. The developed image processing method showed good promise for the computer-aided pathological assessment of oral borderline malignancies in clinical practice.