实现效果
[Curve] = Model_optimization2(1:size(M,1),M1);
figure(1);
hold on;
plot(M1,'k-');
plot(Curve,'g-.');
legend("处理前","处理后");
function [Curve] = Model_optimization(HU_curve,Curve)
%循环遍历相邻数据点,直到所有相邻数据点之间的的差值的绝对值都小于指定的阈值,遍历结束。从第一个点开始遍历,
% 判断当前点A和下一个点B的差值的绝对值,如果大于指定阈值,则继续寻找下下个点C,如果点A和点C差值满足条件,则将点B位置的值替
% 换为 (A+B)/2,此时开始点跳到C点,继续遍历,如果C点不满足条件,也即是存在大于等于2个点是存在较大的偏差的,继续遍历,
% 直到找到满足条件的C点。(允许寻找周围的最多7个点,否则终止寻找,继续下一个数据点的判定)
%%%%%%输入
% % % tempCurve_b = BONE_curve;
% % % tempCurve = WATER_curve;
Th = 0.005;
index = 1;
end_label = 0;
while (index <= length(HU_curve)-2)
index
if(abs(Curve(index) - Curve(index+1))> Th && end_label ==0)
%%%%%%%%% 判断第3个点是否满足条件
if(abs(Curve(index) - Curve(index+2))< Th)
Curve(index+1) = (Curve(index) + Curve(index+2))/2;
index = index +2 ;
% % disp("in");
else
%%%%如果第3个点不满足,开始计数,5个点内还找不到则放弃,如果5个点内找到满足条件的点,
%%% 进一步判断,第一个点和当前点的大小关系,判断是单调增还是单调减,如果是单调增,且找了3个点才找到符合条件的点,就按照每次递增1/3的第一个点和当前
%%% 符合条件的点的绝对值之差
counter =2;
% for kkk =3:7
for kkk =3:40
if (index+kkk) > length(HU_curve)
end_label = 1;
break;
end
if(abs(Curve(index) - Curve(index+kkk))< Th)
break;
end
counter = counter +1;
end
if end_label == 0
%%%%%%%% 改变对应位置的数据点
del = abs(Curve(index) - Curve(index+kkk))/counter;
for ii =1:counter
%%% 判断递增还是递减
if (index+kkk) <= length(HU_curve)
if(Curve(index) > Curve(index+kkk)) %%%递减
Curve(index+ii) = Curve(index) - del*ii;
else %%%递减
Curve(index+ii) = Curve(index) + del*ii;
end
end
end
index = index + kkk;
end
end
elseif(abs(Curve(index) - Curve(index+1))<= Th && end_label ==0)
index = index +1;
else
break;
end
end
end