鞣制皮革图像分割及缺陷检测的研究计算机软件与理论专业论文.docxVIP

四川师范大学硕士学位论文提供了保障。 四川师范大学硕士学位论文 提供了保障。 4、对皮革缺陷进行了分类检测和定位。本文对不同类型的皮革缺陷采用 有针对性的图像检测方法。大量的实验结果表明，该检测方法克服了传统缺陷 检测方法的局限，可以更好、更精确地检测定位缺陷。 5、对鞣制皮革数字化评价指标的建立进行了探讨，证明了数字化评价平 台搭建具有可行性，并对将来的研究工作进行了展望。 关键词：皮革缺陷 图像预处理 图像分割分类检测数字化评价 Ⅱ 四川师范大学硕士学位论文The 四川师范大学硕士学位论文 The Research of Tanning Leather Image Segmentation and Defect Detection Graduate stu，dent：ChangJing Supervisor：WangLing Abstract：With the application of leather products，the requirement of leather grows day by day,but a lot of defects lie in the leather products unavoidably．Identifying these defects quickly and accurately is of great importance to improve the quality of leather products and the latter manufacmre． Marking the defects by di鲋technique not only facilitates the automatic leather industry,but also helps to build the di鲥evaluation platform of the leather quality．This paper studies the classification detection of defects on the leather illlage based on the di#tal image processing technique． This paper has five aspects as follows： Firstly,we collect the tanning leather defect image by the pr谢se equipment，and then classify the leather defects into four categories which make for the di酬image processing．It overcomes the problem of low-level,low-efficiency and ambiguity in the past detecting methods． Secondly,for the real-time of defect detection,We propose a quick and simple binary of processing image in the stage of image preprocess吨．After analymg the characteristic of binary leather image，we propose a new de-noise method based on the atrspaee geometric area．This method derives from the idea of selecting structure element in the morphological de-noise，the threshold of area is calculated by the area III 四川师范大学硕士学位论文in 四川师范大学硕士学位论文 in the binary leather image．The affection of noise is reduced efficiently by the method． Thirdly,WC smdy the leather defects which arc i埘e咖in the stage of image segmentation．An improved method of color ilTlage segmentation based on the genetic algorithm is proposed for the obvious defects，