Otsu


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Otsu

(ō`tso͞o), city (1990 pop. 260,018), capital of Shiga prefecture, S Honshu, Japan. It is a tourist center and a port for excursion boats on Lake Biwa. Electrical appliances, textiles, precision instruments, computer components, and machinery are among the city's industrial products. A former imperial seat (2d and 7th cent.), Otsu is the site of Miidera, a 7th-century Buddhist temple, and of the grave of BashoBasho
(Matsuo Basho) , 1644–94, Japanese poet, critic, and essayist of the early Edo period. His literary name, Basho, is derived from the plantain trees [basho] near a hut built for him by a disciple. Basho played a central role in the development of haiku.
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, the famous poet.

Otsu

 

a city and fishing port in Japan. Situated on Honshu Island, on Lake Biwa. Capital of Shiga Prefecture. Population, 172,000 (1970). Otsu is a transportation junction. It has cement plants and a biological laboratory. The Baisenkutsu botanical gardens, which cultivate dwarf trees, are in Otsu. The city is popular with tourists.

References in periodicals archive ?
In the segmentation stage, we proposed twelve segmentation methods, including (1) Otsu's method, (2) Isodata thresholding method, (3) maximum entropy thresholding method, (4) cross entropy thresholding, (5) minimum error thresholding, (6) fuzzy entropy thresholding method, (7) adaptive thresholding method, (8) k-means clustering, (9) fuzzy c-means clustering, (10) mean shift clustering, (11) Chan-Vese level set, and (12) graph cut methods.
Two-Dimensional Maximum Between-Class Variance Methods (Two-Dimensional Otsu Algorithm Method).
Its histogram can be then used for determining the Otsu threshold which is approximated using only n drawn pixels from N elements of the image.
A method that combines the Sobel and Otsu method has been proposed in [2]; the proposed approach has shown certain improvement in crack detection on concrete surface in comparison with the original Otsu method.
The Otsu operator, also called the maximum class square error method, is a self-adapting threshold determination method that can solve the Canny operator's problem, which is that it is unable to select the high and low thresholds adaptively according to the image characteristics [31].
Finally, the execution time of the proposed MGMF/ Otsu method and the seven state-of-the-art methods is shown in Table 5.
In this work, JA is utilized to discover the maximized value of the Otsu's between-class variance value for a chosen 'Th'.
Under the method of traditional two-dimensional Otsu, the sum of probabilities of the target and background is approximate to 1, and the sum of probabilities of the edge and noise is approximate to 0.
Figures 4 and 5 give the segmentation results obtained by Otsu and the histogram region merging based multithreshold segmentation algorithm, respectively.
Otsu's method is one of the global methods looking for thresholds that minimize class variance from original image histogram, that is, background and foreground.
Otsu bilevel thresholding can be extended to MT and is direct by virtue of the discriminant criterion.
Figure 4 shows the result of applying the Otsu method in the mosaic of Figure 3 to obtain a segmented texture.