1 / 9

Thresholding, Otsu

Thresholding, Otsu. Trabalho 2 - CG. Otsu1 : imgGrey + OtsuBinarization + imgGauss Otsu2: imgGrey + OtsuBinarization Otsu3: OtsuBinarization.

marsden-harvey
Download Presentation

Thresholding, Otsu

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Thresholding, Otsu Trabalho 2 - CG

  2. Otsu1: imgGrey + OtsuBinarization + imgGauss • Otsu2: imgGrey + OtsuBinarization • Otsu3: OtsuBinarization Let the pixels of given picture be represented in L gray levels [1,2,…L]. The number of pixels with level i is denoted by niand the total number of pixels by  N = n1 + n2 + …+ nL.In order to simplify the discussion, the gray-level histogram is normalized and regarded as a probability distribution: Now suppose that we dichotomize the pixel into two classes C0 and C1 (background and objects) by a threshold at level k: C0 denotes pixels with levels [0, … k] and C1 denotes pixels with levels [k+1, … ,L]. Then the probabilities of class occurrence and the class mean levels, respectively, are given by Método de Otsu - Binarização

  3. Testes Realizados Otsu 1 Otsu 2 Otsu 3

  4. Testes Realizados Otsu 1 Otsu 2 Otsu 3

  5. Testes Realizados Otsu 1 Otsu 2 Otsu 3

  6. Testes Realizados Otsu 1 Otsu 2 Otsu 3

  7. Testes Realizados

  8. Testes Realizados Otsu 1 Otsu 2 Otsu 3

  9. Rodando o Otsu3 que corresponde somente ao OtsuBinarization teve melhores resultados do que os outros testes que transformavam a imagem para cinza ou passava o filtro de Gauss. Resultados

More Related