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Circular Thresholding
Circular thresholding is an algorithm for automatic image threshold selection in image processing. Most threshold selection algorithms assume that the values (e.g. intensities) lie on a linear scale. However, some quantities such as hue and orientation are a circular quantity, and therefore require circular thresholding algorithms. The example shows that the standard linear version of Otsu's method In computer vision and image processing, Otsu's method, named after , is used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes, foreground a ... when applied to the hue channel of an image of blood cells fails to correctly segment the large white blood cells (leukocytes). In contrast the white blood cells are correctly segmented by the circular version of Otsu's method. Methods There are a relatively small number of circular image threshold selection algorithms. The follow ...
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Neutrophils
Neutrophils (also known as neutrocytes or heterophils) are the most abundant type of granulocytes and make up 40% to 70% of all white blood cells in humans. They form an essential part of the innate immune system, with their functions varying in different animals. They are formed from stem cells in the bone marrow and differentiated into subpopulations of neutrophil-killers and neutrophil-cagers. They are short-lived and highly mobile, as they can enter parts of tissue where other cells/molecules cannot. Neutrophils may be subdivided into segmented neutrophils and banded neutrophils (or bands). They form part of the polymorphonuclear cells family (PMNs) together with basophils and eosinophils. The name ''neutrophil'' derives from staining characteristics on hematoxylin and eosin ( H&E) histological or cytological preparations. Whereas basophilic white blood cells stain dark blue and eosinophilic white blood cells stain bright red, neutrophils stain a neutral pink. Normally, n ...
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Thresholding (image Processing)
In digital image processing, thresholding is the simplest method of segmenting images. From a grayscale image, thresholding can be used to create binary images. Definition The simplest thresholding methods replace each pixel in an image with a black pixel if the image intensity I_ is less than a fixed value called the threshold T, or a white pixel if the pixel intensity is greater than that threshold. In the example image on the right, this results in the dark tree becoming completely black, and the bright snow becoming completely white. Automatic thresholding While in some cases, the threshold T can be selected manually by the user, there are many cases where the user wants the threshold to be automatically set by an algorithm. In those cases, the threshold should be the "best" threshold in the sense that the partition of the pixels above and below the threshold should match as closely as possible the actual partition between the two classes of objects represented by those ...
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Image Processing
An image is a visual representation of something. It can be two-dimensional, three-dimensional, or somehow otherwise feed into the visual system to convey information. An image can be an artifact, such as a photograph or other two-dimensional picture, that resembles a subject. In the context of signal processing, an image is a distributed amplitude of color(s). In optics, the term “image” may refer specifically to a 2D image. An image does not have to use the entire visual system to be a visual representation. A popular example of this is of a greyscale image, which uses the visual system's sensitivity to brightness across all wavelengths, without taking into account different colors. A black and white visual representation of something is still an image, even though it does not make full use of the visual system's capabilities. Images are typically still, but in some cases can be moving or animated. Characteristics Images may be two or three-dimensional, such as a pho ...
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Orientation (geometry)
In geometry, the orientation, angular position, attitude, bearing, or direction of an object such as a line, plane or rigid body is part of the description of how it is placed in the space it occupies. More specifically, it refers to the imaginary rotation that is needed to move the object from a reference placement to its current placement. A rotation may not be enough to reach the current placement. It may be necessary to add an imaginary translation, called the object's location (or position, or linear position). The location and orientation together fully describe how the object is placed in space. The above-mentioned imaginary rotation and translation may be thought to occur in any order, as the orientation of an object does not change when it translates, and its location does not change when it rotates. Euler's rotation theorem shows that in three dimensions any orientation can be reached with a single rotation around a fixed axis. This gives one common way of representing ...
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Otsu's Method
In computer vision and image processing, Otsu's method, named after , is used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes, foreground and background. This threshold is determined by minimizing intra-class intensity variance, or equivalently, by maximizing inter-class variance. Otsu's method is a one-dimensional discrete analogue of Fisher's Discriminant Analysis, is related to Jenks optimization method, and is equivalent to a globally optimal k-means performed on the intensity histogram. The extension to multi-level thresholding was described in the original paper, and computationally efficient implementations have since been proposed. Otsu's method The algorithm exhaustively searches for the threshold that minimizes the intra-class variance, defined as a weighted sum of variances of the two classes: :\sigma^2_w(t)=\omega_0(t)\sigma^2_0(t)+\omega_1(t)\sigma^2_1(t) Wei ...
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Wu2006
Wu may refer to: States and regions on modern China's territory *Wu (state) (; och, *, italic=yes, links=no), a kingdom during the Spring and Autumn Period 771–476 BCE ** Suzhou or Wu (), its eponymous capital ** Wu County (), a former county in Suzhou * Eastern Wu () or Sun Wu (), one of the Three Kingdoms in 184/220–280 CE * Li Zitong (, died 622), who declared a brief Wu Dynasty during the Sui–Tang interregnum in 619–620 CE * Wu (Ten Kingdoms) (), one of the ten kingdoms during the Five Dynasties and Ten Kingdoms Period 907–960 CE * Wuyue (), another of the ten kingdoms during the Five Dynasties and Ten Kingdoms Period 907–960 CE * Wu (region) (), a region roughly corresponding to the territory of Wuyue ** Wu Chinese (), a subgroup of Chinese languages now spoken in the Wu region ** Wuyue culture (), a regional Chinese culture in the Wu region Language * Wu Chinese, a group of Sinitic languages that includes Shanghaiese People * Wu (surname) (or Woo), several dif ...
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Lai2014
Lai or LAI may refer to: Abbreviations * Austrian Latin America Institute (Österreichisches Lateinamerika-Institut) * '' Latin American Idol'', TV series * La Trobe Institute, Melbourne, Australia * Leaf area index, leaf area of a crop or vegetation per unit ground area * Liga Atlética Interuniversitaria de Puerto Rico * Location Area Identity Places * Lai (state) (萊), 6th-century BC state in present-day Shandong, China * Bolyu language, also known as Lai * Laï, city in Chad * Lai, Iran (other), places in Iran * Lai, village in Lum Choar, Cambodia * ''Lai'', Romansch name for Lenzerheide, a village in Switzerland * Lannion – Côte de Granit Airport Surname * Francis Lai (1932–2018), French composer * Valentino Lai (born 1984), Swedish football player * Lai (surname) 黎丶賴, Chinese surname * Lí (surname 黎), Lai in Cantonese Other * Battle of Lai, during World War I * Lai people, ethnic group of Mizoram, North East India * Lai languages The ...
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