- Course: Computer Vision and Image Processing
- Professor: Luigi Di Stefano
- Student: Alessandro D'Amico
The task consists in locating and isolating defects in two kind of fruits (apples and kiwis) and is precisely described in the file tasks-description.pdf.
The task is divided in 3 subtasks:
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Detecting defects in the apples building a pipeline that takes advantage of the strong edges of the defects (this subtask is mostly involving operations on binary and grayscale images).
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Detect defects in kiwis using mostly the techniques described in the first task.
In order to solve the subtasks, a mix of traditional IP and CV techniques has been applied in combination to my intuitive (handcrafted) ideas/function.
│ .gitattributes
│ tasks-description.pdf
│
├───.ipynb_checkpoints
│ tasks-description-checkpoint.pdf
│
├───final challenge
│ │ fruit inspection - ex3.ipynb
│ │
│ ├───.ipynb_checkpoints
│ │ fruit inspection - ex3-checkpoint.ipynb
│ │
│ └───src
│ C0_000006.png
│ C0_000007.png
│ C0_000008.png
│ C0_000009.png
│ C0_000010.png
│ C1_000006.png
│ C1_000007.png
│ C1_000008.png
│ C1_000009.png
│ C1_000010.png
│
├───first task
│ │ fruit inspection - ex1.ipynb
│ │
│ ├───.ipynb_checkpoints
│ │ fruit inspection - ex1-checkpoint.ipynb
│ │
│ └───src
│ C0_000001.png
│ C0_000002.png
│ C0_000003.png
│ C1_000001.png
│ C1_000002.png
│ C1_000003.png
│
├───other
│ gamma_correction.png
│ pipeline_ex1.png
│ pipeline_ex2.png
│ pipeline_ex3.png
│
└───second task
│ fruit_inspection - ex2.ipynb
│
├───.ipynb_checkpoints
│ fruit_inspection - ex2-checkpoint.ipynb
│
└───src
C0_000004.png
C0_000005.png
C1_000004.png
C1_000005.png