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Watershed (image processing) In the study of image processing, a watershed is a transformation defined on a grayscale image. The name refers metaphorically to a geological watershed, or drainage divide, which separates adjacent drainage basins. The watershed transformation treats the image it operates upon like a topographic map, with the ...
ABAP. ABAP (Advanced Business Application Programming, originally Allgemeiner Berichts-Aufbereitungs-Prozessor, German for "general report preparation processor" [2]) is a high-level programming language created by the German software company SAP SE. It is currently positioned, alongside Java, as the language for programming the SAP NetWeaver ...
SAP Labs are research and development locations that develop and improve SAP core products. SAP Labs are strategically located in high-tech clusters around the globe. [86] The four most prominent labs of SAP SE are located in Germany, Japan, Israel and the US. Labs Walldorf was founded in 1972 and became SAP's primary location.
Serge Beucher, one of the co-creators of the watershed algorithm, later published a paper about it called The Watershed Transformation Applied to Image Segmentation. This paper includes the following: Consider again an image f as a topographic surface and define the catchment basins of f and the watershed lines by means of a flooding process.
Digital image processing is the use of a digital computer to process digital images through an algorithm. [1][2] As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such ...
The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. [1][2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in ...
Gradient domain image processing, also called Poisson image editing, [1] is a type of digital image processing that operates directly on the differences between neighboring pixels, rather than on the pixel values. Mathematically, an image gradient represents the derivative of an image, so the goal of gradient domain processing is to construct a ...
Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. For example, reducing the number of colors required to represent a digital image ...