• revathy

The fundamental problem of image processing is to reduce noise from a digital color image. The problem here is to develop a filter that removes noise and also sharpens the edges simultaneously. So we have to design a filter first of all which uses a better method for sharpening without halo and secondly it should be able to remove noise effectively. It can employ conventional filters for noise removal, which work efficiently in smooth regions but blurring of the image takes place especially at the edges. A lot of effort is put in designing a noise removal by preserving the edges. Bilateral filter adopts low pass Gaussian filter for both domain and range filter. The domain low pass Gaussian filter gives higher weight to pixels that are spatially close to center pixel. The range low pass Gaussian filter gives higher weight to pixels that are similar to center pixel in gray value. By combining domain filter and range filter we can produce bilateral filter which will reduce noise and enhances the sharpness. Gaussian filter that is oriented along the edge will do the averaging along the edges and reduce in gradient direction. For this reason bilateral filter can smooth the noise and preserve the edge details. In terms of image sharpening unsharp mask (USM) has certain disadvantages First It sharpens the image by adding halo(undershoot and overshoot). Second it amplifies the noise information present in the image instead of suppressing the noise and reduce the quality of image. To reduce the first problem we have several slope restoration algorithms. Those algorithms modify the edge information normally or horizontally or vertically i.e in ID only. The ABF will restore the edge slope, without need to locate edge normal’s. So ABF with neural networks is efficient to implement. This will produce clean, crisp edges. To reduce the noise levels in an image. It uses Gaussian low pass filter which will remove the noise.

HFCM,FNN,ABF,Bilateral filter,Weighted support vector machines, Edge detection, Gradients, Image processing.

"EFFECTIVE ALGORITHM FOR IMPLEMENTING EDGE DETECTION USING ADAPTIVE BILATERAL FILTERING BASED FUZZY NEURAL NETWORKS FOR IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.510-515, January-2019, Available :http://www.jetir.org/papers/JETIR1901A63.pdf

"EFFECTIVE ALGORITHM FOR IMPLEMENTING EDGE DETECTION USING ADAPTIVE BILATERAL FILTERING BASED FUZZY NEURAL NETWORKS FOR IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp510-515, January-2019, Available at : http://www.jetir.org/papers/JETIR1901A63.pdf