Image processing mainly include the following steps

2. Digital image processing

In digital image processing, digital images are processed digitally, Photoshop is a good example, Instagram is another.
Image Processing has 2 major categories:

1) Improvement of Pictorial information for human perception:

This category mainly concerns the operations on the pictures which are already stored in the system.

The applications are:-

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  Image Enhancement: As I wrote above, the intensity of an image is a function of illumination. So sometimes due to low illumination conditions, we get a dull image. To overcome this we apply Image Enhancement techniques.
  
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  Removing blurriness of Images: Many a time we observe that our images are blurred due to a problem with camera focus or when we take an image from a moving platform the images appear blurred. This can be overshadowed by Image restoration Techniques. It is also helpful in Noise Filtering.
  
• 
  Segmentation: As the name suggests it helps to segment the part of the image on a predefined condition.
  
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  Morphological Processing: This is a very important aspect of Image Processing as deals with the shapes of the segmented image.
  
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  Object Recognition, Representation and Description: These applications involve the recognition and representations of the image.
  
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  Color Image Processing: This application deals with the colors involved in the particular image, which is if we want to segment a red color object from a particular image, then what conditions we need to provide.
  

Dasturlar quyidagilardir:-

• Tasvirni oshirish: Yuqorida yozganimdek, tasvirning intensivligi nurlanish funksiyasidir. Shunday qilib, ba'zan yorug'lik sharoitlari pastligi sababli biz zerikarli tasvirni olamiz. Buni engish uchun biz Rasmni yaxshilash usullarini qo'llaymiz.
• Rasmlarning bulg'anganligini olib tashlash. Ko'p marta kamera fokusi bilan bog'liq muammo tufayli yoki harakatlanuvchi platformadan rasm olganimizda tasvirlar bulg'angan ko'rinishini kuzatamiz. Bu tasvir tiklash texnikasi bilan qoplangan bo'lishi mumkin. Bundan tashqari, shovqin filtrlashda ham foydali.
• Segmentatsiya: Nomidan ko'rinib turibdiki, tasvirning bir qismini oldindan belgilangan holatda segmentlashga yordam beradi.
• Morfologik ishlov berish: Bu segmentlangan tasvirning shakllari bilan shug'ullanishi bilan Tasvirni qayta ishlashning juda muhim jihati.
• Ob'ektni tanib olish, vakillik va tavsiflash: Ushbu dasturlar tasvirni tanib olish va namoyish qilishni o'z ichiga oladi.
• Rangli tasvirni ishlov berish: Ushbu dastur muayyan tasvir bilan bog'liq ranglar bilan shug'ullanadi, ya'ni agar biz qizil rangli ob'ektni muayyan tasvirdan segmentlashni xohlasak, unda biz qanday sharoitlarni ta'minlashimiz kerak.