New fast image edge-detection algorithm based on composite self-adaption predictor

摘要：

　　Using advantages of gradient adjusted predictor (GAP) and gradient edge detection (GED) predictors of lossless image coding for reference,and the image was cut into four equal parts with the application of Graphics Processor Unit (GPU) parallel technology operation.In four sub-images,the composite self-adaption predictor was employed for predicting error image,threshold classification error image edge and thinning edge.Results showed that with the application of the parallel technology which avoided errors multiply,not only the complexity of the time was reduced significantly,but also the distinct,holistic and detail-rich edge image was obtained.

关键词： gradient adjusted predictor(GAP) gradient edge detection(GED) edge detection threshold parallel technology thinning

作者: Xiangying Dang

作者单位: Xuzhou Institute of Technology, Jiangsu Key Laboratory of Large Engineering Equipment Detection and Control, Xuzhou, 221000, China

会议类型: 国际会议

会议名称: 2013 3rd International Symposium on Chemical Engineering and Material Properties(2013第三届化学工程和材料性能国际研讨会)(ISCEMP 2013)

会议地点: 三亚

会议语种:英文

页码: 1707-1710

在线出版日期: 2013-06-22（万方平台首次上网日期，不代表论文的发表时间）