Gabor filtering (cv::getGaborKernel + filter2D). Builds a sinusoid-modulated Gaussian kernel from wavelength/direction/bandwidth that responds strongest to a specific orientation and frequency; banks of them form texture features.

Module：OpenCV filtering · Task type：opencv_gabor_filter

Ports

Inputs

PortTypeRequired
inImage / cv::Mat✓

Outputs

PortTypeRequired
outcv::Mat✓

Parameters

参数类型默认值范围 / 选项说明
kernel_sizeint31[1, 99] (step 2)kernel edge length in pixels; must be a positive odd number
sigmafloat5[0, 50]Gaussian envelope sigma
thetafloat0[0, 6.2832]filter orientation in radians
lambdfloat10[0, 100]sinusoid wavelength in pixels
gammafloat0.5[0, 5]spatial aspect ratio
psifloat1.5708[0, 6.2832]phase offset in radians

Example graph

A minimal runnable pipeline (read → process → write). Drag it into GraphStudio or open via --open; replace data/test.png with a real path.

{
  "version": "2.0",
  "tasks": [
    {
      "id": "read",
      "type": "opencv_image_read",
      "params": {
        "file_path": "data/test.png"
      }
    },
    {
      "id": "node",
      "type": "opencv_gabor_filter",
      "params": {
        "kernel_size": 31,
        "sigma": 5,
        "theta": 0,
        "lambd": 10,
        "gamma": 0.5,
        "psi": 1.5708
      }
    },
    {
      "id": "save",
      "type": "opencv_image_write",
      "params": {
        "file_path": "out_out.png"
      }
    }
  ],
  "edges": [
    {
      "from": "read",
      "from_port": "out",
      "to": "node",
      "to_port": "in"
    },
    {
      "from": "node",
      "from_port": "out",
      "to": "save",
      "to_port": "in"
    }
  ]
}

Part of the GraphStudio node guide series; parameters reflect the latest release.