﻿{"id":16492,"date":"2026-03-23T10:00:00","date_gmt":"2026-03-23T09:00:00","guid":{"rendered":"https:\/\/www.sigterritoires.fr\/?p=16492"},"modified":"2026-03-15T14:19:25","modified_gmt":"2026-03-15T13:19:25","slug":"esscript-de-python-para-corregir-automaticamente-fotos-submarinas","status":"publish","type":"post","link":"https:\/\/www.sigterritoires.fr\/index.php\/es\/esscript-de-python-para-corregir-automaticamente-fotos-submarinas\/","title":{"rendered":"[ES]Script de Python para corregir autom\u00e1ticamente fotos submarinas"},"content":{"rendered":"\n<p>Bajo el agua, las diferentes longitudes de onda de la luz se absorben progresivamente: el rojo desaparece primero, seguido por el naranja y el amarillo. Incluso a poca profundidad, las fotos suelen presentar una dominante azul-cian. Como resultado, las im\u00e1genes se ven azuladas o verdosas y los corales pierden sus colores naturales. Afortunadamente, esto se puede corregir con bastante facilidad.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>A poca profundidad (&lt;2-3 m), la p\u00e9rdida de rojo es limitada, pero la imagen suele estar dominada por tonos azul\/cian.<\/p>\n\n\n\n<p>Para un procesamiento autom\u00e1tico (por ejemplo antes de usar herramientas de CoralReef), el mejor enfoque es:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>balance de blancos autom\u00e1tico<\/li>\n\n\n\n<li>ligero refuerzo del canal rojo<\/li>\n\n\n\n<li>reducci\u00f3n del canal azul<\/li>\n\n\n\n<li>aumento del contraste<\/li>\n<\/ul>\n\n\n\n<p>Esto se puede hacer f\u00e1cilmente con <strong>Python + OpenCV<\/strong> sobre un directorio completo de im\u00e1genes.<\/p>\n\n\n\n<p>En el procesamiento cient\u00edfico de im\u00e1genes submarinas se utilizan varias t\u00e9cnicas de visi\u00f3n por computadora:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Gray World \/ balance de blancos adaptativo<\/strong><\/li>\n\n\n\n<li><strong>Red Channel Compensation (RCC)<\/strong> para reconstruir el rojo perdido<\/li>\n\n\n\n<li><strong>CLAHE (Contrast Limited Adaptive Histogram Equalization)<\/strong><\/li>\n\n\n\n<li>en algunos casos <strong>Retinex<\/strong> para corregir la iluminaci\u00f3n<\/li>\n<\/ul>\n\n\n\n<p>Esta combinaci\u00f3n se utiliza en numerosos estudios sobre <strong>arrecifes de coral y rob\u00f3tica submarina<\/strong>.<\/p>\n\n\n\n<p>Este script de Python aplica:<\/p>\n\n\n\n<p>1&#xfe0f;&#x20e3; compensaci\u00f3n del canal rojo<br>2&#xfe0f;&#x20e3; balance de blancos Gray-World<br>3&#xfe0f;&#x20e3; mejora de contraste (CLAHE)<br>4&#xfe0f;&#x20e3; procesamiento por lotes de un directorio<\/p>\n\n\n\n<p>Este m\u00e9todo es mucho m\u00e1s eficaz que los scripts simples.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Contenu <\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.sigterritoires.fr\/index.php\/es\/esscript-de-python-para-corregir-automaticamente-fotos-submarinas\/#Script_Python\" >Script Python<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.sigterritoires.fr\/index.php\/es\/esscript-de-python-para-corregir-automaticamente-fotos-submarinas\/#Instalacion\" >Instalaci\u00f3n<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.sigterritoires.fr\/index.php\/es\/esscript-de-python-para-corregir-automaticamente-fotos-submarinas\/#Estructura_de_carpetas\" >Estructura de carpetas<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.sigterritoires.fr\/index.php\/es\/esscript-de-python-para-corregir-automaticamente-fotos-submarinas\/#Antes_Despues\" >Antes \/ Despu\u00e9s<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.sigterritoires.fr\/index.php\/es\/esscript-de-python-para-corregir-automaticamente-fotos-submarinas\/#Por_que_se_utiliza_este_metodo_en_investigacion\" >Por qu\u00e9 se utiliza este m\u00e9todo en investigaci\u00f3n<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Script_Python\"><\/span>Script Python<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><div class='stb-container stb-style-black'><div class='stb-caption'><div class='stb-logo'><img class='stb-logo__image' 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' alt='img'\/><\/div><div class='stb-caption-content'><\/div><div class='stb-tool'><\/div><\/div><div class='stb-content'><br><br><pre class=\"wp-block-code\"><code>import cv2<br>import numpy as np<br>import os<br>from pathlib import Path<br><br>input_dir = \"photos_brutes\"<br>output_dir = \"photos_corrigees\"<br><br>Path(output_dir).mkdir(exist_ok=True)<br><br># -----------------------------<br># Red Channel Compensation<br># -----------------------------<br>def red_channel_compensation(img):<br><br>    b,g,r = cv2.split(img)<br><br>    b_mean = np.mean(b)<br>    g_mean = np.mean(g)<br><br>    r = r + (g_mean - np.mean(r))*0.6<br>    r = r + (b_mean - np.mean(r))*0.3<br><br>    r = np.clip(r,0,255)<br><br>    return cv2.merge([b,g,r.astype(np.uint8)])<br><br><br># -----------------------------<br># Gray World White Balance<br># -----------------------------<br>def gray_world(img):<br><br>    img = img.astype(np.float32)<br><br>    avg_b = np.mean(img[:,:,0])<br>    avg_g = np.mean(img[:,:,1])<br>    avg_r = np.mean(img[:,:,2])<br><br>    avg = (avg_b + avg_g + avg_r) \/ 3<br><br>    img[:,:,0] *= avg\/avg_b<br>    img[:,:,1] *= avg\/avg_g<br>    img[:,:,2] *= avg\/avg_r<br><br>    img = np.clip(img,0,255)<br><br>    return img.astype(np.uint8)<br><br><br># -----------------------------<br># CLAHE Contrast Enhancement<br># -----------------------------<br>def enhance_contrast(img):<br><br>    lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)<br><br>    l,a,b = cv2.split(lab)<br><br>    clahe = cv2.createCLAHE(clipLimit=2.5, tileGridSize=(8,8))<br>    l = clahe.apply(l)<br><br>    lab = cv2.merge((l,a,b))<br><br>    return cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)<br><br><br># -----------------------------<br># Pipeline complet<br># -----------------------------<br>def process(img):<br><br>    img = red_channel_compensation(img)<br>    img = gray_world(img)<br>    img = enhance_contrast(img)<br><br>    return img<br><br><br># -----------------------------<br># Batch processing<br># -----------------------------<br>for file in os.listdir(input_dir):<br><br>    if file.lower().endswith((\".jpg\",\".jpeg\",\".png\",\".tif\",\".tiff\")):<br><br>        path = os.path.join(input_dir,file)<br><br>        img = cv2.imread(path)<br><br>        if img is None:<br>            print(\"image ignor\u00e9e:\", file)<br>            continue<br><br>        corrected = process(img)<br><br>        outpath = os.path.join(output_dir,file)<br><br>        cv2.imwrite(outpath,corrected)<br><br>        print(\"processed:\",file)<br><br>print(\"Termin\u00e9\")<\/code><\/pre><br><\/div><\/div><br><br><hr class=\"wp-block-separator has-alpha-channel-opacity\"><\/hr><br><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Instalacion\"><\/span>Instalaci\u00f3n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>En una consola <strong>OSGeo4W<\/strong>:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pip install opencv-python numpy<\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Estructura_de_carpetas\"><\/span>Estructura de carpetas<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<pre class=\"wp-block-preformatted\">proyecto\/<br>   script.py<br>   fotos_brutas\/<br>   fotos_corregidas\/<\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Antes_Despues\"><\/span>Antes \/ Despu\u00e9s<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><a href=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2026\/03\/correction_couleur_photo_sousmarine-scaled.jpg?ssl=1\"><img data-recalc-dims=\"1\" height=\"174\" width=\"640\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/www.sigterritoires.fr\/wp-content\/uploads\/2026\/03\/correction_couleur_photo_sousmarine.jpg?resize=640%2C174&#038;ssl=1\" alt=\"correction automatique photo sous-marine corail python opencv\"\/><\/a><figcaption class=\"wp-element-caption\">Antes de la correcci\u00f3n \u2014 Despu\u00e9s de la correcci\u00f3n<\/figcaption><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Por_que_se_utiliza_este_metodo_en_investigacion\"><\/span>Por qu\u00e9 se utiliza este m\u00e9todo en investigaci\u00f3n<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Corrige tres problemas principales de las im\u00e1genes submarinas:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Problema<\/th><th>Correcci\u00f3n<\/th><\/tr><\/thead><tbody><tr><td>absorci\u00f3n del rojo<\/td><td>Red Channel Compensation<\/td><\/tr><tr><td>dominante azul-verde<\/td><td>Gray World<\/td><\/tr><tr><td>bajo contraste<\/td><td>CLAHE<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Resultados:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>colores m\u00e1s naturales<\/li>\n\n\n\n<li>texturas de coral m\u00e1s visibles<\/li>\n\n\n\n<li>segmentaci\u00f3n autom\u00e1tica m\u00e1s estable<\/li>\n<\/ul>\n\n\n\n<p>Esto es muy \u00fatil para el an\u00e1lisis de arrecifes de coral.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Bajo el agua, las diferentes longitudes de onda de la luz se absorben progresivamente: el rojo desaparece primero, seguido por el naranja y el amarillo. Incluso a poca profundidad, las fotos suelen presentar una dominante azul-cian.&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"give_campaign_id":0,"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"sfsi_plus_gutenberg_text_before_share":"","sfsi_plus_gutenberg_show_text_before_share":"","sfsi_plus_gutenberg_icon_type":"","sfsi_plus_gutenberg_icon_alignemt":"","sfsi_plus_gutenburg_max_per_row":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[3821],"tags":[4472,4474,4476,4478,4480,2797,4482],"class_list":["post-16492","post","type-post","status-publish","format-standard","hentry","category-images-es","tag-computer-vision-en-es","tag-coral-reefs-es","tag-image-processing-en-es","tag-marine-science-en-es","tag-opencv-en-es","tag-python-es","tag-underwater-photography-en-es"],"aioseo_notices":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p6XU0A-4i0","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/posts\/16492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/comments?post=16492"}],"version-history":[{"count":0,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/posts\/16492\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/media?parent=16492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/categories?post=16492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sigterritoires.fr\/index.php\/wp-json\/wp\/v2\/tags?post=16492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}