From 00cd533a110b1fda56f5673673e3731785fe5ea9 Mon Sep 17 00:00:00 2001 From: Szymok Date: Wed, 13 Sep 2023 23:58:59 +0200 Subject: [PATCH] new article --- _posts/2023-09-13-cv-przetw-obrazow.md | 71 ++++++++++++++++++ ...o_391fb38d-c47c-4755-85cc-fd1604bf1264.png | Bin 0 -> 1224074 bytes 2 files changed, 71 insertions(+) create mode 100644 _posts/2023-09-13-cv-przetw-obrazow.md create mode 100644 assets/img/visual_nexus_abstract_non-representational_geometric_shadows_lo_391fb38d-c47c-4755-85cc-fd1604bf1264.png diff --git a/_posts/2023-09-13-cv-przetw-obrazow.md b/_posts/2023-09-13-cv-przetw-obrazow.md new file mode 100644 index 000000000000..3417c2867662 --- /dev/null +++ b/_posts/2023-09-13-cv-przetw-obrazow.md @@ -0,0 +1,71 @@ +--- +layout: post +title: Jak Się Uczyć Computer Vision Praktyczny Przewodnik +date: 2023-09-13 08:01:45 +description: Computer Vision, od czego zacząć naukę. +tags: computer-vision computer-vision-learn computer-vision-ai ai podstawy +categories: computer-vision +giscus_comments: true +featured: false +toc: + sidebar: left +--- + +{% include figure.html path="assets/img/visual_nexus_abstract_non-representational_geometric_shadows_lo_391fb38d-c47c-4755-85cc-fd1604bf1264.png" class="img-fluid rounded z-depth-1" zoomable=true %} +
+ Obraz wygenerowany przy pomocy Midjourney +
+ +# Przetwarzanie Obrazów: Wprowadzenie do Technik i Zastosowań + +## Złożoność i Wybuchowość w Przetwarzaniu Obrazów + +Przetwarzanie obrazów to dynamicznie rozwijająca się dziedzina w informatyce, która ma ogromne znaczenie w naszym codziennym życiu. Obejmuje ona analizę, manipulację i zrozumienie danych wizualnych, co znajduje zastosowanie w wielu dziedzinach, od medycyny po przemysł filmowy. W tym artykule przyjrzymy się temu fascynującemu obszarowi, skupiając się na aspektach złożoności i wybuchowości w kontekście przetwarzania obrazów. + +## Zrozumienie Przetwarzania Obrazów + +Przetwarzanie obrazów to nauka o analizie i manipulacji cyfrowych obrazów. W rzeczywistości każdy obraz cyfrowy jest reprezentowany jako siatka pikseli, z których każdy ma określoną wartość koloru. W tej dziedzinie nauki wykorzystuje się techniki matematyczne i algorytmy, aby ekstrahować informacje z obrazów i podejmować decyzje na ich podstawie. W efekcie przetwarzanie obrazów pozwala na automatyczną analizę i interpretację danych wizualnych. + +## Złożoność w Przetwarzaniu Obrazów + +Złożoność przetwarzania obrazów wynika z kilku czynników. Po pierwsze, obrazy cyfrowe mogą być bardzo rozbudowane pod względem rozmiaru i szczegółowości. Rozdzielczość obrazów może sięgać milionów pikseli, co sprawia, że analiza każdego z nich staje się wyzwaniem obliczeniowym. Po drugie, obrazy mogą zawierać wiele warstw informacji, takich jak kolory, tekstury i kształty. Przetwarzanie tych danych wymaga zaawansowanych algorytmów. + +## Wybuchowość w Przetwarzaniu Obrazów + +Wybuchowość w kontekście przetwarzania obrazów oznacza zdolność do dynamicznego reagowania na różnorodność danych wizualnych i sytuacji. W rzeczywistości, świat obrazów jest pełen zmiennych czynników, takich jak zmienne oświetlenie, perspektywa, położenie obiektów itp. Dlatego też, algorytmy przetwarzania obrazów muszą być elastyczne i zdolne do dostosowania się do różnych scenariuszy. + +## Zaawansowane Techniki w Przetwarzaniu Obrazów + +### 1. Segmentacja obrazu + +Segmentacja to proces podziału obrazu na różne obszary, które reprezentują różne obiekty lub regiony. Zaawansowane techniki segmentacji pozwalają na automatyczne wyodrębnienie obiektów z tła, co jest przydatne w medycynie (np. detekcja guzów), przemyśle (np. kontrola jakości) i wielu innych dziedzinach. + +### 2. Wykrywanie obiektów + +Wykrywanie obiektów polega na identyfikowaniu i lokalizowaniu obiektów na obrazie. To kluczowa funkcja w przetwarzaniu obrazów, stosowana w systemach monitoringu, rozpoznawaniu twarzy, czy nawet w autonomicznych pojazdach. + +### 3. Analiza tekstur + +Analiza tekstur pozwala na identyfikację powtarzających się wzorców na obrazie. To przydatne w dziedzinach takich jak diagnostyka medyczna (analiza tekstur na obrazach MRI) oraz w przemyśle filmowym (animacja tekstur na powierzchniach 3D). + +## Zastosowania Przetwarzania Obrazów + +### Medycyna + +Przetwarzanie obrazów ma kluczowe znaczenie w medycynie, gdzie jest wykorzystywane do diagnostyki, planowania zabiegów chirurgicznych i monitorowania stanu pacjentów. Przykładowo, komputerowe tomografie (CT) i rezonanse magnetyczne (MRI) opierają się na zaawansowanych technikach przetwarzania obrazów. + +### Przemysł + +W przemyśle przetwarzanie obrazów jest używane do kontroli jakości produktów, monitoringu procesów produkcyjnych i zarządzania magazynami. Dzięki temu można unikać wadliwych produktów i zoptymalizować produkcję. + +### Bezpieczeństwo + +W systemach bezpieczeństwa, takich jak kamery monitoringu, przetwarzanie obrazów umożliwia wykrywanie podejrzanych zachowań, rozpoznawanie twarzy i identyfikację pojęć kluczowych w czasie rzeczywistym. + +## Przyszłość Przetwarzania Obrazów + +Przetwarzanie obrazów rozwija się w zastraszającym tempie. Zaawansowane modele uczenia maszynowego, takie jak sieci neuronowe, rewolucjonizują dziedzinę, umożliwiając automatyczne rozpoznawanie obiektów i interpretację treści na obrazach. Przyszłość przetwarzania obrazów będzie wiązać się z jeszcze bardziej zaawansowanymi algorytmami, które będą w stanie analizować obrazy w bardziej kontekstualny sposób, jak ludzki mózg. + +## Podsumowanie + +Przetwarzanie obrazów to dziedzina, która ma ogromne znaczenie w naszym życiu codziennym i w wielu dziedzinach, takich jak medycyna, przemysł czy bezpieczeństwo. Złożoność i wybuchowość tego obszaru sprawiają, że naukowcy i inżynierowie pracują nad coraz bardziej zaawansowanymi technikami i algorytmami. 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