Image Similarity Detection & Grouping via pHash
Implement Perceptual Hashing (pHash) in Kotlin to analyze local image contents, group similar or duplicate photos, and efficiently render them using RecyclerView and Coil.
Step 1: Project Structure & Dependencies
Organize your architecture and add Coil for image loading
Package Directory
build.gradle.kts
Add Coroutines for background hashing and Coil for fast image rendering.
dependencies {
// Kotlin Coroutines
implementation("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.3")
// Coil Image Loader (Fast, lightweight)
implementation("io.coil-kt:coil:2.5.0")
// RecyclerView
implementation("androidx.recyclerview:recyclerview:1.3.2")
}Step 2: Perceptual Hash (pHash) Algorithm
Generate 64-bit hash fingerprints and compute Hamming distance
Step 3: Background Processing & UI Injection
Load bitmaps in Dispatchers.Default and group by threshold
Step 4: UI Rendering with Coil & Adapter
Display the parent image and a nested row of similar counterparts
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