diff --git a/api/graphql.go b/api/graphql.go
index 20561be..fd97f61 100644
--- a/api/graphql.go
+++ b/api/graphql.go
@@ -2,11 +2,14 @@ package api
 
 import (
 	"fmt"
+	"image"
 	"log"
+	"os"
 	"reflect"
 	"regexp"
 	"strconv"
 	"strings"
+	"time"
 
 	"git.satori.love/gameui/webp/models"
 	"github.com/doug-martin/goqu/v9"
@@ -104,18 +107,49 @@ func NewSchema(config Config) (graphql.Schema, error) {
 		log.Fatalln("连接数据库失败", err)
 	}
 
-	//// 定时检查补全颜色字段
-	//checkColorNullRows := func() {
-	//	for {
-	//		var ids struct {
-	//			ID int
-	//		}
-	//		if err := db.Table("web_images").Where("color IS NULL").Scan(ids).Error; err != nil {
-	//			fmt.Println("定时检查补全颜色字段查询失败", err)
-	//		}
-	//		fmt.Println("定时检查补全颜色字段查询成功", ids)
-	//	}
-	//}
+	// 定时检查补全颜色字段
+	checkColorNullRows := func() {
+		for {
+			time.Sleep(10 * time.Second)
+			var list []struct {
+				ID      int
+				Content string
+			}
+			if err := db.Table("web_images").Select("id", "content").Where("article_category_top_id = 22").Where("color_0_r IS NULL").Limit(10).Scan(&list).Error; err != nil {
+				fmt.Println("定时检查补全颜色字段查询失败", err)
+				continue
+			}
+			fmt.Println("定时检查补全颜色字段查询成功", list)
+			for index, item := range list {
+				matches := regexp.MustCompile(`^https?://image\.gameuiux\.cn/(.*)`).FindStringSubmatch(item.Content)
+				if len(matches) < 2 {
+					fmt.Println("转换路径失败", index, item.ID, item.Content)
+					continue
+				}
+				// 打开图像文件
+				file, err := os.Open("oss/" + matches[1])
+				if err != nil {
+					fmt.Println("打开文件失败", index, item.ID, item.Content, err)
+					continue
+				}
+				defer file.Close()
+
+				// 解码 JPEG 图像
+				img, _, err := image.Decode(file)
+				if err != nil {
+					fmt.Println("解码图像失败", index, item.ID, item.Content, err)
+				}
+
+				centers, _ := KMeans(extractColors(img), 8)
+				fmt.Println(centers)
+			}
+		}
+	}
+
+	if config.Oss.Local {
+		fmt.Println("开启图像色调计算")
+		go checkColorNullRows()
+	}
 
 	// 用户的可选字段
 	user := graphql.NewObject(graphql.ObjectConfig{
diff --git a/api/kMeans.go b/api/kMeans.go
new file mode 100644
index 0000000..83a6ea2
--- /dev/null
+++ b/api/kMeans.go
@@ -0,0 +1,131 @@
+package api
+
+import (
+	"image"
+	"image/color"
+	"math"
+	"math/rand"
+	"os"
+)
+
+// 定义一个结构来表示 RGB 颜色
+type RGB struct {
+	R, G, B int
+}
+
+// 计算两个 RGB 颜色的欧氏距离
+func distance(c1, c2 RGB) float64 {
+	return math.Sqrt(float64((c1.R-c2.R)*(c1.R-c2.R) + (c1.G-c2.G)*(c1.G-c2.G) + (c1.B-c2.B)*(c1.B-c2.B)))
+}
+
+// 对图像颜色进行 KMeans 聚类
+func KMeans(colors []RGB, k int) ([]RGB, []int) {
+	// 随机选择初始中心
+	var centers []RGB
+	for i := 0; i < k; i++ {
+		centers = append(centers, colors[rand.Intn(len(colors))])
+	}
+
+	// 聚类算法
+	labels := make([]int, len(colors))
+	for iter := 0; iter < 10; iter++ { // 设置最大迭代次数为 10
+		// 为每个颜色分配最近的聚类中心
+		for i, color := range colors {
+			minDist := distance(color, centers[0])
+			labels[i] = 0
+			for j := 1; j < k; j++ {
+				dist := distance(color, centers[j])
+				if dist < minDist {
+					minDist = dist
+					labels[i] = j
+				}
+			}
+		}
+
+		// 计算新的聚类中心
+		newCenters := make([]RGB, k)
+		counts := make([]int, k)
+		for i, label := range labels {
+			newCenters[label].R += colors[i].R
+			newCenters[label].G += colors[i].G
+			newCenters[label].B += colors[i].B
+			counts[label]++
+		}
+
+		// 计算平均值作为新的中心
+		for i := 0; i < k; i++ {
+			if counts[i] > 0 {
+				newCenters[i].R /= counts[i]
+				newCenters[i].G /= counts[i]
+				newCenters[i].B /= counts[i]
+			}
+		}
+
+		// 如果中心没有变化，停止迭代
+		changed := false
+		for i := 0; i < k; i++ {
+			if newCenters[i] != centers[i] {
+				changed = true
+				break
+			}
+		}
+		if !changed {
+			break
+		}
+		centers = newCenters
+	}
+
+	return centers, labels
+}
+
+// 加载图像并提取颜色
+func extractColors(img image.Image) (colors []RGB) {
+	bounds := img.Bounds()
+	for y := bounds.Min.Y; y < bounds.Max.Y; y++ {
+		for x := bounds.Min.X; x < bounds.Max.X; x++ {
+			r, g, b, _ := img.At(x, y).RGBA()
+			colors = append(colors, RGB{int(r >> 8), int(g >> 8), int(b >> 8)})
+		}
+	}
+	return colors
+}
+
+// 将聚类后的颜色应用到图像上
+func recolorImage(img image.Image, centers []RGB, labels []int) image.Image {
+	bounds := img.Bounds()
+	newImage := image.NewRGBA(bounds)
+	for y := bounds.Min.Y; y < bounds.Max.Y; y++ {
+		for x := bounds.Min.X; x < bounds.Max.X; x++ {
+			label := labels[(y-bounds.Min.Y)*bounds.Max.X+(x-bounds.Min.X)]
+			// 将 RGB 颜色转换为 RGBA 类型
+			newColor := color.RGBA{
+				R: uint8(centers[label].R),
+				G: uint8(centers[label].G),
+				B: uint8(centers[label].B),
+				A: 255, // 不透明
+			}
+			// 设置新图像像素颜色
+			newImage.Set(x, y, newColor)
+		}
+	}
+	return newImage
+}
+
+func ImageToColors(str string) (colors []RGB, err error) {
+	// 打开图像文件
+	file, err := os.Open(str)
+	if err != nil {
+		return nil, err
+	}
+	defer file.Close()
+
+	// 解码 JPEG 图像
+	img, _, err := image.Decode(file)
+	if err != nil {
+		return nil, err
+	}
+
+	// 提取图像颜色
+	centers, _ := KMeans(extractColors(img), 8)
+	return centers, nil
+}
diff --git a/api/struct.go b/api/struct.go
index ef97e48..c5eac71 100644
--- a/api/struct.go
+++ b/api/struct.go
@@ -155,6 +155,11 @@ type ConfigMysql struct {
 	Password string
 }
 
+type Oss struct {
+	Local bool
+}
+
 type Config struct {
 	Mysql ConfigMysql
+	Oss
 }
diff --git a/bin/main.go b/bin/main.go
index 0dca1a3..d382b1d 100644
--- a/bin/main.go
+++ b/bin/main.go
@@ -247,6 +247,9 @@ func main() {
 			UserName: config.GetString("mysql.user"),
 			Password: config.GetString("mysql.password"),
 		},
+		Oss: api.Oss{
+			Local: config.GetBool("oss.local"),
+		},
 	})
 	if err != nil {
 		log.Fatalf("failed to create new schema, error: %v", err)