NigelJu

class Solution {
    func letterCasePermutation(_ S: String) -> [String] {
        
        if S.count == 0 {return [""]}
        
        var results = [String]()
        
        
        for char in S {
            

NigelJu

class Solution {
    func transpose(_ A: [[Int]]) -> [[Int]] {
        let oldRowCount = A.count
        let oldColCount = A.first?.count ?? 0
        
        let newRowCount = oldColCount
        let newColCount = oldRowCount
   
        var newRows = [[Int]]()
        

NigelJu

class Solution {
    func transpose(_ A: [[Int]]) -> [[Int]] {
        let oldRowCount = A.count
        let oldColCount = A.first?.count ?? 0
        
        var newMatrix = [[Int]](repeating: [Int](repeatElement(0, count: oldRowCount)), count: oldColCount)
        
        for rowIndex in 0 ..< oldRowCount {
            
            for colIndex in 0 ..< oldColCount {

NigelJu

class Solution {
    func intToRoman(_ num: Int) -> String {
              
        var currentNum = num
        var romanNum = ""
        
        while (currentNum >= 1) {
            
            while (currentNum >= 1000) {
                romanNum += "M" 

NigelJu

class Solution {
    func countPrimes(_ n: Int) -> Int {
        
        if n <= 2 { return 0 }
        
        var primeTable = [Bool](repeating: true, count: n)
        var primeCount = 1
        
        var currentNum = 3
        while currentNum < n {

NigelJu

import UIKit
class Solution {
    func countPrimes(_ n: Int) -> Int {
        if n <= 2 { return 0 }
        var primeTable = [Bool](repeating: true, count: n)
        for index in 2 ..< n {
            var base = 2
            while index * base < n {
                primeTable[index * base] = false
                base += 1

NigelJu

img = imread('lenna.png');

grayImg = im2double(rgb2gray(img));

[height, width] = size(grayImg);

impluseNoiseImg = double(zeros(height, width));

% impluse (salt & pepper) noise
for h = 1: height

NigelJu

img = imread('Lenna.png');

grayImg = rgb2gray(img);

[imgHeight, imgWidth] = size(grayImg);


% H = fspecial('laplacian');
% result = imfilter(grayImg,H);

NigelJu

img = imread('computer.JPG');

imgSize = size(img)   % (H, W)
newImgHeight = 418 
newImgWidth = 727
newImg = zeros(newImgHeight, newImgWidth, 3);

values = [
    1.0000
    0.1005

NigelJu

% 要先取得原圖的左上, 左下, 右上及右下的點
leftTopX = 33;
leftTopY = 98;

rightTopX = 760;
rightTopY = 129;

leftDownX = 75;
leftDownY = 508;