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2. Image tracing - Wikipedia

   en.wikipedia.org/wiki/Image_tracing

   The bitmap image is composed of a fixed set of pixels, while the vector image is composed of a fixed set of shapes. In the picture, scaling the bitmap reveals the pixels while scaling the vector image preserves the shapes. An image does not have any structure: it is just a collection of marks on paper, grains in film, or pixels in a bitmap ...

3. Gabor filter - Wikipedia

   en.wikipedia.org/wiki/Gabor_filter

   Its impulse response is defined by a sinusoidal wave (a plane wave for 2D Gabor filters) multiplied by a Gaussian function. [6] Because of the multiplication-convolution property (Convolution theorem), the Fourier transform of a Gabor filter's impulse response is the convolution of the Fourier transform of the harmonic function (sinusoidal function) and the Fourier transform of the Gaussian ...

4. Cropping (image) - Wikipedia

   en.wikipedia.org/wiki/Cropping_(image)

   Cropping is the removal of unwanted outer areas from a photographic or illustrated image. The process usually consists of the removal of some of the peripheral areas of an image to remove extraneous visual data from the picture, improve its framing, change the aspect ratio, or accentuate or isolate the subject matter from its background.

5. Connected-component labeling - Wikipedia

   en.wikipedia.org/wiki/Connected-component_labeling

   The emergence of FPGAs with enough capacity to perform complex image processing tasks also led to high-performance architectures for connected-component labeling. [20] [21] Most of these architectures utilize the single pass variant of this algorithm, because of the limited memory resources available on an FPGA. These types of connected ...

6. Foreground detection - Wikipedia

   en.wikipedia.org/wiki/Foreground_detection

   For calculating the image containing only the background, a series of preceding images are averaged. For calculating the background image at the instant t: (,,) = = (,,) where N is the number of preceding images taken for averaging. This averaging refers to averaging corresponding pixels in the given images.

7. Kernel (image processing) - Wikipedia

   en.wikipedia.org/wiki/Kernel_(image_processing)

   In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.