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TopThere are various change detection techniques being used from past few years. These techniques can be categorized as, a. Algebra method (Image Differencing technique, Image rational method, Change Vector Analysis technique), b. Transformation method (Principal Component Analysis technique, Chi-square method), c. Classification method (Unsupervised Change detection technique, Hybrid Change detection technique, Artificial neural networks) and Visual analysis (Visual interpretation). Mostly researchers used these techniques, for determining the moving objects (Zhang et al., 2010), for determining the changes in Land-use or Land-Cover (Radke et al., 2005), and for remote sensing. After gone through various research papers on change detection. It is found that the above techniques can be used to determine the changes in the state of chemical substances.
BaoFeng Zhang et. al. (2010) proposed work has used image differencing technique for moving object detection. For better moving object detection, it used two-frame difference method, three image difference methods, four image difference method and five image difference method are used for moving object detection, for validation its result curve fitting and statistics methods used and the phenomenon of double image also avoided, the experiment shows that, this is practical and effective.
D. Lu et. al. (2004) summarized and reviewed various change detection techniques and broadly discussed about image differencing technique and analyzed principal components and classification technique. these are the most important and common methods for change detection, the proposed work comprehensively explored to all major change detection approaches and finally concluded that different change detection algorithms have their advantage and disadvantage and found that no single algorithm is appropriate and suitable for all cases.