Fuzzy Filtering for Two Dimensional Images of Mechanical Parts.

Alshnnaway, Abdallah; Aly, Ayman A.

doi:10.21608/bfemu.2020.127512

Fuzzy Filtering for Two Dimensional Images of Mechanical Parts.

Document Type : Research Studies

Authors

Abdallah Alshnnaway ¹
Ayman A. Aly ²

¹ Assistant Professor., Production Engineering and Mechanical Design Department., Faculty of Engineering., Tanta University., Tanta., Egypt.

² Assistant Professor., Production Engineering and Mechanical Design Engineering Department., Faculty of Engineering., Tanta University., Tanta., Egypt.

10.21608/bfemu.2020.127512

Abstract

The general idea behind the filter is to average a pixel using other pixel values from its neighborhood, but simultaneously to take care of important image structures such as edges. The main concern of the proposed filter is to distinguish between any variations of the captured digital image due to noise and due to image structure.
In this work a new fuzzy filler is presented for the noise reduction of images corrupted with additive noise . The filter consists of three stages. (1) Define fuzzy sets in the input space to computes a fuzzy derivative for eight different directions (2) construct a set of IF·THEN rules by 10 perform fuzzy smoothing according to contributions of neighboring pixel values and (3) define fuzzy sets in the output space to get the fiItered and edged image. The edges give the image the appearance depth and sharpness. A loss of edg.es makes the image appear blurred or unfocused. However. noise smoothing and edge enhancement are traditionally conflicting tasks. Since most noise filtering behaves like a low pass filter, the blurring of edges and loss of detail seems a natural consequence. Techniques to remedy this inherent connect of often encompass generation of new noise due to enhancement. Experimental results are obtained to show the feasibility of the proposed approach with two dimensional objects.

Keywords