• Abhishek Tamrakar
• Rekhansh Rao

Smoke is first indication for fire and different image capturing are used for security purpose. Here we find smoke in capture image and present a comparative analysis for detecting best result for smoke presence in image. Various smoke detection method are available using wavelet but it still required more accuracy for conform that smoke present are not. Here we represent a comparative analysis of various wavelets and their 5 level and also use some noise which more refines the image for smoke detection. Here we use wavelet 5 levels for one image and their Energy level for different Noise like Gaussian Noise, Speckle Noise, Poisson Noise and Salt & Pepper Noise. All this are some noise removal techniques that are available for remove the image Noise. For comparative analysis take input as two images first without smoke and second with smoke image. In first segmentation image will convert the gray image and filter the image using media filter. This gray and filter image energy was calculated by different wavel

Smoke Detection, Segmentation, Wavelet, Gaussian Noise, Speckle Noise, Poisson Noise and Salt & Pepper Noise.

"Comparative Analysis of Wavelet Transformation for Fire and Smoke detection in Color Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.193-197, December-2015, Available :http://www.jetir.org/papers/JETIR1512033.pdf

"Comparative Analysis of Wavelet Transformation for Fire and Smoke detection in Color Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp193-197, December-2015, Available at : http://www.jetir.org/papers/JETIR1512033.pdf