there is a plethora of papers in the subject and are so many scientists who work on this problem and derive a lot of edge detection filters and algorithms that are various degrees of success of different image 因此,眾多學(xué)者一直致力于圖像邊緣檢測(cè)方法的研究,并提出了許多行之有效的邊緣檢測(cè)方法。圖像的邊緣是指圖像中相鄰象素點(diǎn)之間的灰度有較顯著的變化,這種變化可以用數(shù)學(xué)上的梯度來(lái)刻劃其分布。
first of all, for uncertain systems and state-delayed uncertain systems, the residual generators are constructed based on full-order filters, and the fault detection and isolation problems for these two classes of systems are reduced to h filtering problems by using h control theory . the fault detection filter design is formulated as convex optimization problem subject to lmi constraints in terms of linear matrix inequalities, which can be solved readily by using standard numerical software 首先,針對(duì)非時(shí)滯不確定系統(tǒng)和具有狀態(tài)時(shí)滯的不確定系統(tǒng),采用全階濾波器構(gòu)造殘差產(chǎn)生系統(tǒng),利用h控制理論將這兩類系統(tǒng)的故障檢測(cè)與分離問(wèn)題轉(zhuǎn)化為h濾波問(wèn)題,采用線性矩陣不等式技術(shù)將魯棒故障檢測(cè)濾波器的設(shè)計(jì)轉(zhuǎn)化為具有線性矩陣不等式約束的凸優(yōu)化問(wèn)題,可利用標(biāo)準(zhǔn)的數(shù)學(xué)軟件求取。