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Irwin Sobel
Irwin Sobel (born September 12, 1940) is a scientist and researcher in digital image processing. Biography Irwin Sobel was born in New York City. He graduated from MIT in 1961 and did his Ph.D. research at the Stanford Artificial Intelligence Project (SAIL) with thesis ''Camera Models and Machine Perception''. He spent most of his career at HP Labs. Sobel Operator In 1968, Sobel gave a talk entitled "An Isotropic 3x3 Image Gradient Operator"Irwin Sobel, 2014''History and Definition of the Sobel Operator''/ref> at SAIL; this method became known as the Sobel operator. It should more appropriately be called the Sobel–Feldman operator since it was developed jointly with a colleague, Gary Feldman Gary J. Feldman is an American particle physicist who works on physics beyond the standard model with the NOvA experiment based at Fermilab. Early life and education Feldman was born in Cheyenne, Wyoming to Polish immigrants and was raised in ..., also at SAIL. References ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
New York City
New York, often called New York City or NYC, is the List of United States cities by population, most populous city in the United States. With a 2020 population of 8,804,190 distributed over , New York City is also the List of United States cities by population density, most densely populated major city in the United States, and is more than twice as populous as second-place Los Angeles. New York City lies at the southern tip of New York (state), New York State, and constitutes the geographical and demographic center of both the Northeast megalopolis and the New York metropolitan area, the largest metropolitan area in the world by urban area, urban landmass. With over 20.1 million people in its metropolitan statistical area and 23.5 million in its combined statistical area as of 2020, New York is one of the world's most populous Megacity, megacities, and over 58 million people live within of the city. New York City is a global city, global Culture of New ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sobel Operator
The Sobel operator, sometimes called the Sobel–Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge detection algorithms where it creates an image emphasising edges. It is named after Irwin Sobel and Gary Feldman, colleagues at the Stanford Artificial Intelligence Laboratory (SAIL). Sobel and Feldman presented the idea of an "Isotropic 3 × 3 Image Gradient Operator" at a talk at SAIL in 1968. Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. At each point in the image, the result of the Sobel–Feldman operator is either the corresponding gradient vector or the norm of this vector. The Sobel–Feldman operator is based on convolving the image with a small, separable, and integer-valued filter in the horizontal and vertical directions and is therefore relatively inexpensive in terms of computations. On the other hand, the gradi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
