Electronic sensor based system for detecting impurity level in liquids using additive wavelet transform

The research project proposed is beneficial to the society by and large by giving the measure to reduce the adulteration practices in liquid. The concept of electronic tongue is more recent and much less research has been undertaken on the development of liquid sensors and classification algorithms. A sample of water or milk has too high concentration of bacteria so to analyze bacterial growth is an important task since the bacteria can cause diseases and make the liquid unusable. Electronic tongue can be used to identify and recognize specific components in a solution. In this approach, experiments are conducted using an electronic tongue to virtually monitor the quality of liquid like drinking water, juice and oil. This paper is based on new enhancement technique for infrared images which integrates the benefits of additive wavelet transformation and homomorphic image processing. The main motive behind this technique is to decompose the images into subbands in an additive fashion and the principle adopted to implement the same is using additive wavelet transform which produces the image as an addition of subbands of the same resolution. Each subbands is subjected to homomorphic processing and it is learned that when images are subjected to homomorphic processing in the log domain , the images are transformed into illumination and reflectance components. When the reflectance components are enhanced it reinforces the details in the image so here this process is applied to each subband to enhance the details of image in each subband. In the final step these homomorphic enhanced subbands are subjected to an inverse additive wavelet transform to get an infrared image with better visual details.