Automatic Classi cation of Bacteria Culture Images
نویسنده
چکیده
Automatic image analysis plays an important role in biological, medical, and ecological applications. However, because of the complexity and diiculty of automatic image analysis, no currently available image processing systems can achieve a desired level of performance on diierent types of images. The design of an image analysis system needs to be application-oriented and conform to the requirements of the task. In this report, an image analysis system whose sole purpose is bacteria image analysis is introduced. The details of its implementation are given, and its performance on bacteria culture images, provided by the Center for Microbial Ecology, Michigan State University, is evaluated.
منابع مشابه
Image Segmentation Through Automatic Fractal Dimension Classi ̄cation
Usual segmentation techniques of grayscale images depend on supervised trial-and-error procedures. Moreover, in noisy images, local classi ̄cation schemes fail due to the random °uctuations introduced by the noise. Recent proposals as the active contours may be robust enough to cope with some cases of noisy images without supervision (except for the initialization step), but still fail with imag...
متن کاملInterpreting Image Databases by Region Classi cation
This paper addresses automatic interpretation of images of outdoor scenes. The method allows instances of objects from a number of generic classes to be identi ed: vegetation, buildings, vehicles, roads, etc., thereby enabling image databases to be queried on scene content. The feature set is based, in part, on psychophysical principles and includes measures of colour, texture and shape. Using ...
متن کاملHierarchical Content Classification and Script Determination for Automatic Document Image Processing
Page segmentation and image content classi cation play an important role in automatic image processing with applications to mixed-type document image compression, form and check reading, and automatic mail sorting. In this paper, we rst present an enhanced background thinning based approach for fast page segmentation. After the analysis of three di4erent methods individually, a hierarchical app...
متن کاملAn eYcient neural classi cation chain of SAR and optical urban images
In this paper a suitable neural classi cation algorithm, based on the use of Adaptive Resonance Theory (ART) networks, is applied to the fusion and classi cation of optical and SAR urban images. ART networks provide a exible tool for classi cation, but are ruled by a large number of parameters. Therefore, the simpli ed ART2-A algorithm is used in this paper, and the neural approach is int...
متن کاملGeostatistical classi®cation for remote sensing: an introduction
Traditional spectral classi®cation of remotely sensed images applied on a pixel-by-pixel basis ignores the potentially useful spatial information between the values of proximate pixels. For some 30 years the spatial information inherent in remotely sensed images has been employed, albeit by a limited number of researchers, to enhance spectral classi®cation. This has been achieved primarily by ®...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007