mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapemean_image_shape (算子名称)

名称

mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapemean_image_shape — Smooth image using a mean filter with arbitrary mask.

参数签名

描述

mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapeMeanImageShapemean_image_shape performs a mean filter operation on the input image ImageImageImageImageimageimage with a mask that is specified by the region MaskMaskMaskMaskmaskmask and returns the filtered image in ImageMeanImageMeanImageMeanImageMeanimageMeanimage_mean. The shape of the mask can be chosen arbitrarily and can, for example, be created with operators like gen_circlegen_circleGenCircleGenCircleGenCirclegen_circle or draw_regiondraw_regionDrawRegionDrawRegionDrawRegiondraw_region. The position of the mask does not influence the result since the center of gravity of the mask region is used as the reference point of the mask. For border treatment the gray values are reflected at the image edges.

For mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapeMeanImageShapemean_image_shape special optimizations are implemented that use SIMD technology. The actual application of these special optimizations is controlled by the system parameter 'avx2_enable'"avx2_enable""avx2_enable""avx2_enable""avx2_enable""avx2_enable" (see set_systemset_systemSetSystemSetSystemSetSystemset_system). If 'avx2_enable'"avx2_enable""avx2_enable""avx2_enable""avx2_enable""avx2_enable" is set to 'true'"true""true""true""true""true" (and the SIMD instruction set is available), the internal calculations are performed using SIMD technology. Furthermore, these optimizations are only used for byte images and if the area of the filter mask provided by MaskMaskMaskMaskmaskmask is smaller than 129.

Note that mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapeMeanImageShapemean_image_shape performs best on compact input regions.

At any rate, it is advantageous for the performance of mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapeMeanImageShapemean_image_shape to choose the input region of ImageImageImageImageimageimage such that any border treatment is avoided.

For an explanation of the concept of smoothing filters see the introduction of chapter Filters / Smoothing.

运行信息

• 多线程类型:可重入(与非独占操作符并行运行)。
• 多线程作用域:全局(可以从任何线程调用)。
• 在元组级别自动并行化。
• 在图像通道级别自动并行化。
• Automatically parallelized on internal data level.

参数表

例程 (HDevelop)

read_image (Image, 'fabrik')
gen_circle (Circle, 10, 10, 2)
mean_image_shape (Image, Circle, ImageMean)
dev_display (ImageMean)

结果

If the parameter values are correct 该算子 mean_image_shapemean_image_shapeMeanImageShapeMeanImageShapeMeanImageShapemean_image_shape 返回值 2 ( H_MSG_TRUE) . The behavior in case of empty input (no input images available) is set via 该算子 set_system('no_object_result',<Result>)set_system("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>)SetSystem("no_object_result",<Result>)set_system("no_object_result",<Result>). If necessary an exception is raised.

可能的前置算子

read_imageread_imageReadImageReadImageReadImageread_image, reduce_domainreduce_domainReduceDomainReduceDomainReduceDomainreduce_domain, rectangle1_domainrectangle1_domainRectangle1DomainRectangle1DomainRectangle1Domainrectangle1_domain, gen_circlegen_circleGenCircleGenCircleGenCirclegen_circle

可能的后置算子

dyn_thresholddyn_thresholdDynThresholdDynThresholdDynThresholddyn_threshold, regiongrowingregiongrowingRegiongrowingRegiongrowingRegiongrowingregiongrowing

可替代算子

binomial_filterbinomial_filterBinomialFilterBinomialFilterBinomialFilterbinomial_filter, gauss_filtergauss_filterGaussFilterGaussFilterGaussFiltergauss_filter, smooth_imagesmooth_imageSmoothImageSmoothImageSmoothImagesmooth_image, mean_imagemean_imageMeanImageMeanImageMeanImagemean_image

参考其它

anisotropic_diffusionanisotropic_diffusionAnisotropicDiffusionAnisotropicDiffusionAnisotropicDiffusionanisotropic_diffusion, sigma_imagesigma_imageSigmaImageSigmaImageSigmaImagesigma_image, convol_imageconvol_imageConvolImageConvolImageConvolImageconvol_image, gen_lowpassgen_lowpassGenLowpassGenLowpassGenLowpassgen_lowpass

模块

Foundation

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