segmentator
This is a simple library for image segmentation written in Golang. I need it for my CG synopsis (it is in synopsis folder), but hope it'll be usefull for You too :)
structure of the library
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Loading and Saving Images:
- Load Image: func LoadImage(path, name string) (img Image, err error)
- Save Image: func SaveImage(path, name string, img Image) (err error)
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Grayscale algorithms:
- Averaging ("Quick and Dirty"): func GSAveraging(img Image)
- Correcting the human eye ("Luma"): func GSLuma(img Image)
- Desaturation: func GSDesaturation(img Image)
- Decomposition (Maximal and Minimal): func GSDecomposition(img Image, do int) (err error)
- Single Color Channel (Red, Green or Blue): func GSDecomposition(img Image, do int) (err error)
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First generation algorithms:
- Based on Edge-Detection:
- Roberts operator: func FGEDRoberts(img Image, do int) (err error)
- Previtt operator: func FGEDPrevitt(img Image, do int) (err error)
- Sobel operator: func FGEDSobel(img Image, do int) (err error)
- Scharr operator: func FGEDScharr(img Image, do int) (err error)
- Custom operator: func FGEDCustomOperators(img Image, GxOp, GyOp [][]int, do int) (err error)
- Based on Pixel Classification:
- Simple Iterative: func FGPCIterative(img Image) (threshold int)
- Otsu: func FGPCOtsuThresholding2(img Image) (threshold int)
- Custom: FGPCThreshold(img Image, thresholds []int, colors []Pixel) (err error)
- Based on Edge-Detection:
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Helpers:
- abs: func abs(value int) int
- min: func min(values ...int) int
- max: func max(values ...int) int
important notes
- Disputes on which coordinate system to use when processing images continues to the day. I prefer Gonsales-Woods varinant:
