sales@lix.by
г.Минск, ул. Тимирязева, д.67, пом. 428
Пн - Пт: с 9:00 до 21:00
Сб - Вс: с 9:00 до 20:00

Lauter

# 使用Python实现简单的图像处理工具下面是一个使用Python和Pillow库实现的简单图像处理工具，包含基本的图像处理功能： ```python from PIL import Image, ImageFilter, ImageEnhance import os import tkinter as tk from tkinter import filedialog, messagebox, ttk import threading class ImageProcessor: def __init__(self): self.image = None self.original_image = None self.current_path = None def load_image(self, path): """加载图像""" try: self.image = Image.open(path) self.original_image = self.image.copy() self.current_path = path return True except Exception as e: messagebox.showerror("错误", f"无法加载图像: {str(e)}") return False def save_image(self, path): """保存图像""" if self.image: try: self.image.save(path) return True except Exception as e: messagebox.showerror("错误", f"无法保存图像: {str(e)}") return False return False def reset_image(self): """重置为原始图像""" if self.original_image: self.image = self.original_image.copy() return True return False def apply_filter(self, filter_type): """应用滤镜""" if not self.image: return False try: if filter_type == "blur": self.image = self.image.filter(ImageFilter.BLUR) elif filter_type == "contour": self.image = self.image.filter(ImageFilter.CONTOUR) elif filter_type == "detail": self.image = self.image.filter(ImageFilter.DETAIL) elif filter_type == "edge_enhance": self.image = self.image.filter(ImageFilter.EDGE_ENHANCE) elif filter_type == "emboss": self.image = self.image.filter(ImageFilter.EMBOSS) elif filter_type == "sharpen": self.image = self.image.filter(ImageFilter.SHARPEN) elif filter_type == "smooth": self.image = self.image.filter(ImageFilter.SMOOTH) elif filter_type == "grayscale": self.image = self.image.convert("L") elif filter_type == "sepia": # 棕褐色滤镜 self.image = self._apply_sepia() return True except Exception as e: messagebox.showerror("错误", f"应用滤镜失败: {str(e)}") return False def _apply_sepia(self): """应用棕褐色滤镜""" # 转换为RGB模式 img = self.image.convert("RGB") width, height = img.size # 创建新图像 sepia_img = Image.new("RGB", (width, height)) # 棕褐色转换矩阵 for x in range(width): for y in range(height): r, g, b = img.getpixel((x, y)) # 棕褐色转换公式 tr = int(0.393 * r + 0.769 * g + 0.189 * b) tg = int(0.349 * r + 0.686 * g + 0.168 * b) tb = int(0.272 * r + 0.534 * g + 0.131 * b) # 限制值在0-255之间 tr = min(255, tr) tg = min(255, tg) tb = min(255, tb) sepia_img.putpixel((x, y), (tr, tg, tb)) return sepia_img def adjust_brightness(self, factor): """调整亮度""" if not self.image: return False try: enhancer = ImageEnhance.Brightness(self.image) self.image = enhancer.enhance(factor) return True except Exception as e: messagebox.showerror("错误", f"调整亮度失败: {str(e)}") return False def adjust_contrast(self, factor): """调整对比度""" if not self.image: return False try: enhancer = ImageEnhance.Contrast(self.image) self.image = enhancer.enhance(factor) return True except Exception as e: messagebox.showerror("错误", f"调整对比度失败: {str(e)}") return False def adjust_saturation(self, factor): """调整饱和度""" if not self.image: return False try: enhancer = ImageEnhance.Color(self.image) self.image = enhancer.enhance(factor) return True except Exception as e: messagebox.showerror("错误", f"调整饱和度失败: {str(e)}") return False def resize_image(self, width, height): """调整图像大小""" if not self.image: return False try: self.image = self.image.resize((width, height), Image.Resampling.LANCZOS) return True except Exception as e: messagebox.showerror("错误", f"调整大小失败: {str(e)}") return False def rotate_image(self, angle): """旋转图像""" if not self.image: return False try: self.image = self.image.rotate(angle, expand=True) return True except Exception as e: messagebox.showerror("错误", f"旋转图像失败: {str(e)}") return False def crop_image(self, left, top, right, bottom): """裁剪图像""" if not self.image: return False try: self.image = self.image.crop((left, top, right, bottom)) return True except Exception as e: messagebox.showerror("错误", f"裁剪图像失败: {str(e)}") return False def get_image_info(self): """获取图像信息""" if not self.image: return "无图像" info = f"尺寸: {self.image.size[0]}x{self.image.size[1]}\n" info += f"模式: {self.image.mode}\n" info += f"格式: {self.image.format if self.image.format else '未知'}\n" if self.current_path: info += f"路径: {os.path.basename(self.current_path)}" return info class ImageProcessorGUI: def __init__(self): self.processor = ImageProcessor() self.root = tk.Tk() self.root.title("简易图像处理工具") self.root.geometry("900x700") # 设置样式 self.setup_styles() # 创建界面 self.create_widgets() # 当前预览图像 self.preview_image = None def setup_styles(self): """设置界面样式""" style = ttk.Style() style.theme_use('clam') # 配置按钮样式 style.configure('Custom.TButton', padding=6, font=('Arial', 10)) def create_widgets(self): """创建界面组件""" # 主框架 main_frame = ttk.Frame(self.root, padding="10") main_frame.grid(row=0, column=0, sticky=(tk.W, tk.E, tk.N, tk.S)) # 配置网格权重 self.root.columnconfigure(0, weight=1) self.root.rowconfigure(0, weight=1) main_frame.columnconfigure(1, weight=1) main_frame.rowconfigure(1, weight=1) # 顶部按钮框架 button_frame = ttk.Frame(main_frame) button_frame.grid(row=0, column=0, columnspan=2, pady=(0, 10), sticky=(tk.W, tk.E)) # 文件操作按钮 ttk.Button(button_frame, text="打开图像", command=self.open_image, style='Custom.TButton').pack(side=tk.LEFT, padx=5) ttk.Button(button_frame, text="保存图像", command=self.save_image, style='Custom.TButton').pack(side=tk.LEFT, padx=5) ttk.Button(button_frame, text="重置图像", command=self.reset_image, style='Custom.TButton').pack(side=tk.LEFT, padx=5) # 分隔符 ttk.Separator(button_frame, orient=tk.VERTICAL).pack(side=tk.LEFT, padx=10, fill=tk.Y) # 滤镜按钮 filter_label = ttk.Label(button_frame, text="滤镜:", font=('Arial', 10)) filter_label.pack(side=tk.LEFT, padx=5) filters = ["模糊", "轮廓", "细节", "边缘增强", "浮雕", "锐化", "平滑", "灰度", "棕褐色"] filter_

Быстрый просмотр

Сифон Lauter 21Y11021 (матовый черный)

Сифон Lauter 21Y11021 (матовый черный)

Сифон Lauter 21Y11021 (матовый черный)

Сифон Lauter 21Y11021 (матовый черный)

Гарантия (месяцев)

:

12

Комментарии

Загрузка комментариев...

Назад к списку

Главная Каталог 0 Корзина 0 Избранные Кабинет 0 Сравнение Акции Контакты Услуги Бренды Отзывы Компания Лицензии Документы Реквизиты Блог Обзоры

Продолжая использовать сайт, вы соглашаетесь с политикой использования файлов cookie.