Fast Edge Detection Based on the Combination of Fuzzy Subsets

A fast edge detection method basing on the combination of fuzzy subsets is developed, in which the detection of an edge as a classification problem will be considered, partitioning the image into two portions: the edge portion and the non-edge portion. The latter one, as the main constituent of an image, consists of the object and its background. Removing the non-edge portion from an image, the remainder is nothing but the edge of this image. As far as the fuzziness of the edge of an image is concerned, some fuzzy operations can be made. In this paper, the gray level histogram is partitioned into several sub-regions, and some operations are performed with the associated fuzzy subsets corresponding to those sub-edges in the sub-regions on the gray-level-square-difference histogram, and the edge of this image is finally obtained. Practical examples in this paper illustrate that, the described method is simple and effective to achieve an ideal edge image.

论网络犯罪跨境数据取证中的执法管辖权

网络犯罪的急剧增加、传统犯罪与网络信息技术的快速融合深刻转变了犯罪治理的运行场域,跨境数据取证已经成为打击犯罪的新常态,但其因受到执法管辖权的强地域限制而难以有效开展。此时惯性地扩张立法管辖权不仅无助于提升跨境取证效率,也可能模糊跨境数据取证制度建构的重点,甚至严重阻碍打击犯罪的实践运行。基于此,有必要清晰界分立法管辖权与执法管辖权,在后者的理论框架下探索传统刑事司法协助机制以外的跨境数据取证新路径。从执法管辖权的地域性出发,新路径需要建立在国内法与国际法双重正当性基础之上,依据比例原则进行分层分类分场景设计。在具体取证路径上,对于当前国内外普遍探索的直接跨境取证与藉由第三方协助的间接跨境取证两种措施而言,均需要以化解执法管辖权的地域性限制作为逻辑起点,针对直接取证引入善意原则,针对间接取证着力化解合规困境。

刑事诉讼中的个人信息保护探讨——基于公民信息保护整体框架

刑事诉讼中涉及大量不同类型的公民信息,传统规则主要关注隐私信息和通信信息保护,并已形成各自的保护框架。而对于刑事诉讼中个人信息保护制度的建设,需要在综合考量已有公民信息保护体系的基础之上,在静态层面明确个人信息与隐私信息、通信信息之间的相互关系,在动态层面关注信息类型间的相互转换,以正当目的为逻辑起点,以比例原则为核心原则,同时匹配信息公正机制和影响评估机制。