Research Of Bamboo Slips Image Enhancement And Segmentation

Digital image processing technique applied in bamboo slips image improves theprocess of culture information distilled and analyzed for archaeologist; Also, there aredemand for using image technique to change the shortage, such as fuzzy words, lowcontrast and fragmentary information and so on. The alteration could make theresearch and cultural relic work well.Image enhancement, segmentation and mathematical morphology are greatlyimportant and valuable technology in Image Processing fields. The aim of imageenhancement is to change the vision and improve the cognition; Image segmentationis to distill the interested region from picture; Mathematical morphology methodcould keep the basic shape characteristic of image when predigesting data and wipingoff the disrelation structure.According to bamboo slips characteristic, a new enhancement method is proposedwhich is based on HSV in paper. The perceptual color HSV space is used. When thesaturation is processed, the value is disposed by the combined method of lineartransformation, median filtering and laplacian of Gaussian. The experimental resultsshow that the enhanced bamboo slips image is much more dearly and more words canbe known; Next step, image segmentation is used for enhanced value information.Analysis,classification and conclusion of current picture splitting algorithm is carriedout. Combining bamboo slips characteristic, Threshold value, MaximumBetween-Class Variance(OTSU) and area segmentation methods are used separatelyto bamboo slips. Through a large of experiment, a suitable segment method is foundfor bamboo slips words distilled, which could separate the words from the background;Later, mathematical morphology method is used to process the word information.Open and Close operator using together is useful for thickening the word and fillingup the small inanition; At last, the word picture is divided based on the improvedprojection method. The pleasant result is helpful for the pickup study, such as wordrestoration and recognition.