SR_DynUeber_einfam[!SR_DynUeber_einfam$PID %in% NullNK,]
输入
预期结果
实际结果
在这里,我们看到Canny Edge Detector正在检测图像的边界线,这不是我预期的结果。
我如何实现这一目标?
源代码
clear_all();
image_name = 'canny_test.png';
% no of pixels discarded on border areas
discard_pixels = 10;
% read image and convert to grayscale
input_image = gray_imread(image_name);
% discard border area
input_image = discard_image_area(input_image, discard_pixels);
% create a binary image
binary_image = edge(input_image,'canny');
imshow(binary_image);
答案 0 :(得分:1)
答案很简单,您的函数var contacts = [ { "firstName": "Akira", "lastName": "Laine", "number": "0543236543", "likes": ["Pizza", "Coding", "Brownie Points"] }, { "firstName": "Harry", "lastName": "Potter", "number": "0994372684", "likes": ["Hogwarts", "Magic", "Hagrid"] }, { "firstName": "Sherlock", "lastName": "Holmes", "number": "0487345643", "likes": ["Intriguing Cases", "Violin"] }, { "firstName": "Kristian", "lastName": "Vos", "number": "unknown", "likes": ["Javascript", "Gaming", "Foxes"] } ];
function lookUpProfile(firstName, prop) {
for (var i=0; contacts.length>i; i++) {
if (contacts[i]['firstName']==firstName) {
if (contacts[i].hasOwnProperty(prop) === true) {
return contacts[i][prop];
}
else {
return "No such property";
}
}
return "No such contact"; }
}
console.log(lookUpProfile("Akira", "lastName"));
会将图像值更改为靠近图像边框的0。
因此它在图像值和0之间创建了步骤 这正是Canny Edge Detector所寻找的。 p>
如果在应用此功能后显示图像,则可以轻松看到它。
不要使用该功能。
答案 1 :(得分:1)
应用discard_image_area
功能后应用edge
。否则,丢弃的区域显然是边界。即这样做:
image_name = 'canny_test.png';
discard_pixels = 10;
input_image = rgb2gray(imread(image_name)); % there is no such this as gray_imread
% create a binary image
binary_image = edge(input_image,'canny');
% discard border area
binary_image = discard_image_area(binary_image , discard_pixels);
imshow(binary_image);
<强>输出:强>