Question

我无法实现Sobele滤波器进行边缘检测。

首先，我进行SOBEL_VERTICAL和SOBEL_HORIZONTAL卷积，然后使用以下公式计算像素的颜色：G = sqrt（Gx * Gx + Gy * Gy）

代码：

val log = KotlinLogging.logger { }

val width = fastImage.width
val height = fastImage.height

override fun filter(): FastImage {
    val convolution = Convolution(fastImage)
    val obsSobelHorizontal = Observable.fromCallable { convolution.convolve(Convolution.SOBEL_HORIZONTAL) }
    val obsSobelVertical = Observable.fromCallable { convolution.convolve(Convolution.SOBEL_VERTICAL) }

    var fastImageSobel: FastImage? = null

    Observable.zip(obsSobelHorizontal, obsSobelVertical, { r1, r2 ->
        log.info { Thread.currentThread() }
        val fast = FastImage(width, height)
        for (x in 0..width - 1) {
            for (y in 0..height - 1) {
                val argb1: Int? = r1.getARGB(x, y)
                val argb2: Int? = r2.getARGB(x, y)
                if (argb1 != null && argb2 != null) {
                    val G = sqrt(((argb1 * argb1) + (argb2 * argb2)).toDouble()).toInt().clamp()
                    val color = Color(G,G,G)
                    fast.setARGB(x, y, color.rgb)
                }
            }
        }
        return@zip fast

    }).subscribe({ fastImageSobel = it }, { log.error("Can`t do sobel!", it) })

    return fastImageSobel!!
}

正确的形象是错误的

Answer 1

好的，经过一些研究后我发现了我的问题。我的像素存储在RGB int数组中。所以我必须为每个颜色通道手动计算G：

                    val cx = Color(argb1)
                    val cy = Color(argb2)

                    val rx = cx.red
                    val gx = cx.green
                    val bx = cx.blue

                    val ry = cy.red
                    val gy = cy.green
                    val by = cy.blue

                    val R = Math.hypot(rx.toDouble(), ry.toDouble()).toInt().clamp()
                    val G = Math.hypot(gx.toDouble(), gy.toDouble()).toInt().clamp()
                    val B = Math.hypot(bx.toDouble(), by.toDouble()).toInt().clamp()

                    val color = Color(R, G, B)

                    fast.setARGB(x, y, color.rgb)

索贝尔过滤器的实现

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