图片主色调提取与调色板生成工具：自动分析图片颜色分布、提取Top N主色、生成色卡预览、支持HEX/RGB/HSL多格式导出

🖥️ 运行效果

🚀 实例简介

本工具可以自动分析任意图片的颜色分布，提取出占比最高的主色调，生成可视化调色板色卡。支持HEX/RGB/HSL三种颜色格式导出，适合设计师取色、前端开发配色、品牌色彩分析等场景。

💻 核心代码

import tkinter as tk
from tkinter import ttk, filedialog, messagebox
from PIL import Image
import colorsys, platform, os

CHINESE_FONT = "WenQuanYi Zen Hei" if platform.system() == "Linux" else "Microsoft YaHei"

class ColorExtractorApp:
    def __init__(self, root):
        self.root = root
        self.root.title("图片主色调提取工具")
        self.root.geometry("720x560")
        self.colors = []
        self.img_path = None
        self._build_ui()

    def _build_ui(self):
        top = tk.Frame(self.root)
        top.pack(fill="x", padx=10, pady=8)
        tk.Label(top, text="选择图片:", font=(CHINESE_FONT, 11)).pack(side="left")
        self.path_var = tk.StringVar(value="请选择一张图片文件...")
        tk.Entry(top, textvariable=self.path_var, width=40, font=(CHINESE_FONT, 10)).pack(side="left", padx=5)
        tk.Button(top, text="浏览", font=(CHINESE_FONT, 10), command=self._browse).pack(side="left", padx=3)
        tk.Label(top, text="提取数量:", font=(CHINESE_FONT, 11)).pack(side="left", padx=(15,3))
        self.num_var = tk.StringVar(value="8")
        tk.Spinbox(top, from_=3, to=20, textvariable=self.num_var, width=4, font=(CHINESE_FONT, 10)).pack(side="left")
        tk.Button(top, text="开始提取", font=(CHINESE_FONT, 11, "bold"), bg="#4CAF50", fg="white",
                  command=self._extract).pack(side="left", padx=10)
        tk.Label(self.root, text="🎨 主色调色板", font=(CHINESE_FONT, 13, "bold")).pack(anchor="w", padx=10, pady=(5,2))
        self.palette_frame = tk.Frame(self.root, bg="#f0f0f0", height=120)
        self.palette_frame.pack(fill="x", padx=10, pady=3)
        self.palette_frame.pack_propagate(False)
        tk.Label(self.root, text="📋 颜色详情", font=(CHINESE_FONT, 13, "bold")).pack(anchor="w", padx=10, pady=(8,2))
        cols = ("色块", "HEX", "RGB", "HSL", "占比")
        self.tree = ttk.Treeview(self.root, columns=cols, show="headings", height=10)
        for c in cols:
            self.tree.heading(c, text=c)
            self.tree.column(c, width=120, anchor="center")
        self.tree.pack(fill="both", expand=True, padx=10, pady=3)
        btn_f = tk.Frame(self.root)
        btn_f.pack(fill="x", padx=10, pady=5)
        tk.Button(btn_f, text="导出调色板为PNG", font=(CHINESE_FONT, 10), command=self._export_png).pack(side="left", padx=5)
        tk.Button(btn_f, text="复制HEX到剪贴板", font=(CHINESE_FONT, 10), command=self._copy_hex).pack(side="left", padx=5)
        self.status = tk.Label(self.root, text="就绪 - 请选择图片开始分析", font=(CHINESE_FONT, 10), fg="gray")
        self.status.pack(anchor="w", padx=10, pady=3)

    def _browse(self):
        path = filedialog.askopenfilename(filetypes=[("图片文件", "*.png *.jpg *.jpeg *.bmp *.gif *.webp")])
        if path:
            self.img_path = path
            self.path_var.set(os.path.basename(path))

    def _extract(self):
        if not self.img_path or not os.path.exists(self.img_path):
            messagebox.showwarning("提示", "请先选择有效的图片文件")
            return
        n = int(self.num_var.get())
        try:
            img = Image.open(self.img_path).convert("RGB")
            img = img.resize((150, 150))
            pixels = list(img.getdata())
        except Exception as e:
            messagebox.showerror("错误", f"无法打开图片: {e}")
            return
        quantized = {}
        total = len(pixels)
        for r, g, b in pixels:
            qr, qg, qb = r // 16 * 16, g // 16 * 16, b // 16 * 16
            key = (qr, qg, qb)
            quantized[key] = quantized.get(key, 0) + 1
        sorted_colors = sorted(quantized.items(), key=lambda x: -x[1])[:n]
        self.colors = [(k, v, v / total * 100) for k, v in sorted_colors]
        self._render_palette()
        self._render_table()
        self.status.config(text=f"✅ 提取完成！共分析 {total} 个像素，提取 {len(self.colors)} 种主色调", fg="green")

    def _render_palette(self):
        for w in self.palette_frame.winfo_children():
            w.destroy()
        if not self.colors:

💡 适用场景

办公自动化、数据分析、快速原型开发