Evaluation of Deforestation using Watershed Algorithm

Deforestation is a serious issue that most nations face today. Deforestation is primarily due to urbanization. Most nations that are presently under the scanner for deforestation had immense forest stretch. The need for settlements and development has triggered such a scenario. The proposed method segment the forest region with city and classify how much deforestation occurs. In this paper image segmentation is performed by combining color space and watershed transform. If only watershed algorithm be used for segmentation of image, then we will have over clusters in segmentation. The developed algorithm was applied for segmentation of color images too. In this regard, first, the image was transformed from RGB to La*b*, then the algorithm was applied to segment each channel separately and then the best result for each channel was selected. Finally, color matching was performed for better presentation. Results of proposed algorithm in compare with segmented image by the algorithm in RGB space is more accurate and furthermore proposed algorithm can be ensue an automatic method for evaluating deforestation. KeywordsDeforestation, L*a*b*, Watershed segmentation;