The distance transform labels every foreground pixel with its distance to the nearest background pixel — the backbone of watershed segmentation, skeletonization, and shape analysis. Upload any image, binarize it with Otsu or a manual threshold, and explore the L2 distance field as a colormapped heatmap, an overlay, or a raw grayscale field.
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Distance transform hupatia kila pikseli ya mbele lebo ya umbali wake kwenda pikseli ya karibu zaidi ya mandharinyuma — nguzo kuu ya ugawanyaji wa watershed, skeletonization, na uchambuzi wa maumbo. Pakia picha yoyote, ibadilishe kuwa ya thamani-mbili kwa Otsu au kizingiti cha mkono, kisha uchunguze uga wa umbali wa L2 kama ramani-joto (heatmap) yenye rangi, kama tabaka la juu, au kama uga ghafi wa kijivu.
Onyesha distance transform ya Euclidean (L2) kwa thresholding ya Otsu/mwongozo, colormaps, na hali ya overlay — CV ya kawaida, ndani ya kivinjari.
Huendesha uzalishaji wa alama za watershed, skeletonization, upangaji wa njia za roboti, operesheni za kimofolojia, na vipimo vya unene wa maumbo — mahali popote unapohitaji kujua nipo umbali gani kutoka kwenye mpaka kwa kila pikseli.
Kila ukanda wa ramani-rangi ni mstari wa umbali-sawa: pikseli zilizo kwenye ukanda mmoja ziko umbali sawa kutoka kwenye ukingo wa karibu zaidi. Vituo vya madoa hung'aa zaidi kwa sababu ndivyo vilivyo mbali zaidi na mpaka wowote.
Umbali wa Euclidean (L2) kwa kutumia mask ya 3x3 kupitia OpenCV distanceTransform, uliorekebishwa kuwa 0-255 kwa ajili ya kuonyeshwa.
Hapana. Ubadilishaji hufanyika kwa WebAssembly ndani ya kivinjari chako kabisa.